Identify considerations for relational data on Azure

A company is migrating an on-premises SQL Server database to Azure. They want to ensure that database administrators (DBAs) can perform administrative tasks but cannot view sensitive customer data in query results. Which Azure SQL feature should they implement?

A software-as-a-service (SaaS) provider hosts a multi-tenant application with a separate database for each tenant. They anticipate scaling to thousands of tenants and want to minimize cost while allowing tenants to share resources flexibly. Which Azure SQL offering is most suitable?

A company runs an e-commerce application backed by an on-premises SQL Server database. They plan to migrate to Azure SQL Database and require automatic failover across two Azure regions for disaster recovery. The application must continue to connect using the same connection string after a failover, with no code changes. Which feature should they implement?

A company is migrating a legacy on-premises database to Azure. They require the ability to run cross-database queries within the same logical server, full control over database collation settings, and want to minimize management overhead for infrastructure patching. The database size is under 1 TB and they do not need instance-level features like SQL Agent jobs or linked servers. Which Azure SQL offering should they choose?

A company is migrating an on-premises SQL Server database to Azure. The database uses SQL Server Integration Services (SSIS) packages for daily ETL processes. The company wants to minimize administrative overhead for patching and backup management, but needs to retain full control over instance-level configurations and support for SSIS. Which Azure SQL service should they choose?

A startup is developing a web application that requires a relational database with PostgreSQL compatibility. They want a fully managed service that automatically handles backups, patching, and provides high availability with a 99.99% SLA. Which Azure service should they choose?

A company has an existing on-premises SQL Server database that is 500 GB in size. The database uses SQL Server Agent jobs for scheduled maintenance and linked servers to query data from a remote SQL Server instance. The company wants to migrate to Azure with minimal application changes and needs automated backups and patching. Which Azure SQL service should they choose?

A company plans to migrate a 2-TB on-premises SQL Server database to Azure. The database uses SQL Server Agent jobs for scheduled maintenance and requires automatic failover across Azure regions. The company wants a fully managed service with minimal application changes. Which Azure SQL service should they choose?

A company is migrating an on-premises SQL Server database to Azure. The database is 800 GB, uses SQL Server Agent jobs for scheduled tasks, and needs to link to another on-premises SQL Server instance via linked servers. The company wants a fully managed service with minimal application changes. Which Azure SQL service should they choose?

A company is migrating a 1.5 TB on-premises SQL Server database to Azure. The database relies on SQL Server Agent jobs for daily ETL processes and uses linked servers to query data from another on-premises SQL Server database. The company wants a fully managed PaaS service that requires minimal application changes. Which Azure SQL service should they choose?

A company is migrating a 3-TB on-premises SQL Server database to Azure. The database heavily uses cross-database queries with three-part names (e.g., db.schema.table) and relies on SQL Server Agent for scheduled maintenance jobs. They want a fully managed PaaS service with automatic backups and patching, while minimizing application code changes. Which Azure SQL service should they choose?

A company runs a customer-facing web application that uses an Azure SQL Database. The database experiences highly variable workloads: high traffic during business hours and low traffic at night and on weekends. The company wants to pay only for the compute resources consumed and automatically scale compute capacity based on demand, while maintaining the ability to pause during inactivity. Which Azure SQL Database service tier should they choose?

A company is migrating a 2-TB on-premises SQL Server database to Azure. The database uses SQL Server Agent jobs for scheduled maintenance, relies on linked servers to query data from another SQL Server instance, and requires cross-database queries within the same instance. The company wants a fully managed PaaS service that minimizes application code changes and provides automatic backups and patching. Which Azure SQL service should they choose?

A company is migrating a 500 GB on-premises SQL Server database to Azure. The database uses SQL Server Agent for scheduled maintenance jobs and requires the ability to run cross-database queries within the same logical server. The company wants a PaaS service that minimizes management overhead for patching and backups while preserving these SQL Server features. Which Azure SQL service should they choose?

A financial company is migrating a 2-TB on-premises SQL Server database to Azure. The database uses SQL Server Agent jobs for data validation and cleanup, and it performs cross-database queries using three-part names (e.g., DB1.schema.table). The company requires a fully managed PaaS service that supports these features with minimal application changes. Which Azure SQL service should they choose?

A company plans to migrate an on-premises SQL Server database to Azure. The database uses SQL Server Agent jobs for scheduled maintenance and relies on linked servers to query data from another SQL Server instance. It also performs cross-database queries within the same instance. The company wants a fully managed PaaS service that requires minimal application changes and provides automated backups and patching. Which Azure SQL service should they choose?

A company has a suite of 20 e-commerce applications, each with its own SQL Server database. The databases vary in size from 5 GB to 100 GB and have unpredictable usage patterns with bursty peaks. The company wants to migrate to Azure SQL Database to benefit from built-in high availability and automatic backups. They need to minimize costs by only paying for the resources each database actually uses, and they want to avoid over-provisioning for peak loads. Which Azure SQL Database deployment option should they choose?

A company has 15 SQL Server databases, ranging from 50 GB to 200 GB each. The databases experience unpredictable load spikes during the day. They want to migrate to Azure SQL Database to minimize management overhead and reduce costs by allowing databases to share resources, while ensuring each database can burst to higher performance when needed. Which deployment option should they choose?

A company is migrating a 500 GB financial database to Azure. The database requires low read/write latency, supports a high number of concurrent transactions, and must have a Recovery Point Objective (RPO) of less than 5 seconds and a Recovery Time Objective (RTO) of less than 30 minutes. The company is willing to pay more for these guarantees. Which Azure SQL Database service tier should they choose?

A company needs to migrate 10 on-premises SQL Server databases (each 50–200 GB) to Azure. The databases frequently run cross-database queries using three-part names (e.g., DB1.dbo.table) and rely on SQL Server Agent for maintenance tasks. They want to minimize management overhead and share resources across databases to reduce costs. Which Azure SQL deployment option should they choose?

A financial services company runs a single SQL Server database that is 6 TB in size and handles a high volume of concurrent transactions. The database needs to support near real-time analytics without impacting OLTP performance. The company wants to migrate to Azure SQL Database and requires fast scale-out for read workloads, as well as the ability to independently scale compute and storage. Which Azure SQL Database service tier should they choose?

A company is migrating a relational database to Azure SQL Database. They anticipate that the amount of stored data will grow significantly over time, but the compute requirements (CPU and memory) will remain relatively stable. Which purchasing model should they choose to allow independent scaling of storage and compute?

A company uses Azure SQL Database for its e-commerce platform. The reporting team runs complex, long-running queries that join multiple tables and would degrade performance of the transactional workload if executed on the primary database. Which Azure SQL Database feature should the company enable to isolate the reporting queries while ensuring read-only access to the most current data?

A global e-commerce company uses Azure SQL Database for its product catalog. The database is hosted in the West US region. To ensure the catalog remains available if West US experiences an outage, the company wants to configure a secondary database in East US that can be used for reads and can be automatically promoted to primary during a disaster. They require a Recovery Point Objective (RPO) of less than 5 seconds and a Recovery Time Objective (RTO) of less than 30 minutes. Which feature should they implement?

A company has 12 SQL Server databases, each about 30 GB. The databases experience unpredictable load spikes during the day. The company wants to migrate to Azure SQL Database to reduce administrative overhead and optimize costs by sharing resources among the databases. Which deployment option should they choose?

An e-commerce company has 20 SQL Server databases that each range from 10 GB to 50 GB and experience unpredictable usage patterns with occasional spikes in user activity. The company wants to migrate to Azure SQL Database to reduce management overhead and minimize costs by allowing databases to share resources. Which Azure SQL Database deployment option should they choose?

A startup is deploying a new application on Azure SQL Database. They expect the database to start at 10 GB but grow to 500 GB over time. They want to be able to scale compute independently of storage and only pay for the compute resources they use. They also want to avoid over-provisioning and automatically pause during idle periods. Which purchasing model and service tier should they choose?

A company is migrating a SQL Server database to Azure SQL Database. The database uses CLR (Common Language Runtime) integration for business logic and has database mail configured. The company needs full instance-level functionality while still benefiting from the platform-as-a-service model. Which Azure SQL deployment option should they choose?

A company has 15 on-premises SQL Server databases, each 20–40 GB, running on a single instance. They rely on cross-database queries using three-part names (e.g., DB1.dbo.table) and SQL Server Agent for maintenance. They want to migrate to Azure with minimal application changes and reduce administrative overhead. Which Azure SQL deployment option should they choose?

A company has an Azure SQL Database with an 'Orders' table containing millions of rows. The table has a clustered index on OrderID (primary key). Queries frequently filter by CustomerID (equality) and OrderDate (range). These queries are slow and cause high logical reads. Which index strategy will most improve performance for these specific queries?

A retail company runs an e-commerce platform on a single SQL Server database. The database experiences unpredictable spikes in read-only reporting queries that degrade transactional performance. They want to migrate to Azure SQL Database and isolate the reporting workload while ensuring it sees the most current data. Which feature should they enable?

A software company develops a multi-tenant SaaS application. They deploy a separate Azure SQL Database for each tenant. The databases are small (2-5 GB) and have highly variable loads — some tenants use the app heavily during the day, others at night. The company wants to maximize resource utilization and minimize costs by allowing databases to share a pool of resources, while still maintaining a predictable performance per database. Which Azure SQL Database deployment option should they choose?

A retail company uses Azure SQL Database to store a large fact table of sales transactions with millions of rows. They run complex aggregate queries (SUM, COUNT, AVG) across many rows for monthly reports. These queries take too long. Which index type should they add to the table to improve performance?

A company plans to migrate a 500 GB SQL Server database from on-premises to Azure SQL Database. They require minimal downtime during the migration. Which approach should they use?

A hospital uses Azure SQL Database to store patient appointment records. The 'Appointments' table has columns: AppointmentID (primary key), PatientID, DoctorID, AppointmentDate, and Status. Queries frequently filter by DoctorID (equality) and AppointmentDate (range) to retrieve a doctor's schedule. Currently, these queries are slow. Which index strategy will most improve performance for these queries?

A company has an Azure SQL Database that supports a critical business application in the West US region. They want to ensure that if the primary region becomes unavailable, the database can automatically fail over to a secondary replica in the East US region with minimal data loss. The secondary replica must also be readable to offload some reporting queries when the primary is healthy. Which Azure SQL Database feature should they enable?

A company uses Azure SQL Database for an e-commerce platform. The 'Orders' table has millions of rows with columns OrderID (primary key), CustomerID, OrderDate, and TotalAmount. Queries often filter by CustomerID (equality) and OrderDate (range). Currently, these queries are slow. Which index should be created to improve performance?

A company runs a critical OLTP application on a single Azure SQL Database in the West US region. They need to ensure high availability with automatic failover to a secondary region in case of a regional outage. The solution must minimize data loss and allow the secondary database to be readable for reporting queries when the primary is healthy. Which feature should they enable?

A company has an on-premises SQL Server database with a 1 TB 'Sales' table containing historical data. They want to move this table to Azure SQL Database with minimal downtime. The table is actively written to during business hours. Which approach should they use?

A SaaS company hosts a multi-tenant application. Each tenant has a separate Azure SQL Database. The databases are small (1-3 GB) and their workloads vary significantly over time, with some tenants active during business hours and others at night. The company wants to maximize resource utilization and minimize costs by pooling compute resources across tenants while maintaining predictable performance per database. Which Azure SQL Database deployment option should they choose?

A logistics company uses Azure SQL Database to store millions of shipment records. The table has columns: ShipmentID (primary key), CustomerID, ShipDate, and Destination. Queries frequently filter by CustomerID and ShipDate to retrieve shipments for a specific customer over a date range. Which indexing strategy will most improve query performance?

A company wants to migrate an on-premises SQL Server database to Azure. The database uses SQL Agent jobs to run nightly ETL processes and relies on Service Broker for asynchronous messaging between applications. They want to minimize changes to the application and database code. Which Azure SQL deployment option should they choose?

A company uses Azure SQL Database to store a large table of sales transactions with columns: TransactionID (primary key), CustomerID, ProductID, SaleDate, Amount. Queries frequently filter by both CustomerID and SaleDate to retrieve sales for a specific customer over a date range. Which indexing strategy will most improve query performance?

A company is evaluating deployment options for a new business application that requires a fully managed relational database. The application must support high availability with automatic failover and horizontal scaling for read-heavy workloads. The development team wants to minimize administrative overhead and prefers a PaaS solution that offers built-in read scale-out. Which Azure SQL deployment option should they choose?

A company maintains a large 'Transactions' table in Azure SQL Database. The table has a clustered index on a GUID column (TransactionID). Over time, they observe slow insert performance due to index fragmentation and page splits. They also need fast point lookups by TransactionID. Which approach should they take to improve insert performance while still supporting fast lookups?

A global e-commerce company uses Azure SQL Database for its product catalog. The application experiences high read traffic for product detail pages, often running the same queries for popular items. The database’s write workload is moderate. The company wants to improve read performance without increasing the cost of the primary database tier and without changing the application code. Which Azure SQL Database feature should they implement?

A company uses Azure SQL Database for a reporting application. The database is mostly idle during weekdays but experiences heavy load on weekends when reports are generated. They want to minimize costs by only paying for compute resources when the database is active. Which Azure SQL Database pricing model should they choose?

A company uses Azure SQL Database for an e-commerce application. The Orders table contains columns: OrderID (int, primary key), CustomerID (int), OrderDate (datetime), TotalAmount (decimal). Queries frequently filter by both CustomerID and OrderDate to retrieve orders for a specific customer within a date range. Which indexing strategy will most improve the performance of these queries?

A company runs an e-commerce application on Azure SQL Database. The database experiences high transaction volume during business hours (9 AM to 6 PM) but very low activity at night and on weekends. They want to optimize costs by paying only for the compute resources used, while ensuring the database can automatically scale up during peak periods and scale down (or pause) during idle times. Which Azure SQL Database purchasing model and compute tier should they choose?

A company plans to migrate an on-premises SQL Server database to Azure. The database relies on SQL Agent jobs for nightly maintenance, uses Service Broker for asynchronous messaging, and requires high CPU and memory resources. The company wants to minimize application code changes. Which two Azure SQL deployment options meet all these requirements? (Choose two.)

A company plans to migrate an on-premises SQL Server database to Azure. The database uses SQL Server Agent to run scheduled jobs and performs cross-database queries within the same instance. The company wants a fully managed PaaS solution that requires minimal application changes. Which Azure SQL deployment option should they choose?

A SaaS company manages hundreds of customer databases, each representing a tenant. Each tenant database has its own predictable usage pattern, but the aggregate workload across all tenants is variable. The company wants to optimize costs by pooling compute resources across tenants while still ensuring that each tenant benefits from resource isolation under normal loads. Which Azure SQL Database deployment model should they choose?

A company has a table named 'Sales' in Azure SQL Database with columns: SaleID (int, primary key), ProductID (int), SaleDate (datetime), Quantity (int), UnitPrice (decimal), TotalAmount (computed column). Queries frequently run to retrieve the total Quantity and UnitPrice for a specific ProductID over a date range. The query filters on ProductID and SaleDate and selects only Quantity and UnitPrice. Which index would most improve query performance?

A company uses Azure SQL Database for an e-commerce application. The Orders table contains columns: OrderID (int, primary key), CustomerID (int), OrderDate (datetime), TotalAmount (decimal). Queries frequently filter by CustomerID and OrderDate to retrieve orders for a specific customer within a date range. Queries also need to retrieve a single order by OrderID quickly. Which indexing strategy will most improve the performance of these queries?

A company plans to migrate an on-premises SQL Server database to Azure. The database uses SQL Server Agent for nightly maintenance jobs, Service Broker for asynchronous messaging, and requires cross-database queries within the same instance. The company wants a fully managed Platform as a Service (PaaS) solution that minimizes application code changes. Which Azure SQL deployment option should they choose?

A company uses Azure SQL Database for an order management system. The Orders table has columns: OrderID (int, primary key), CustomerID (int), OrderDate (datetime), Status (varchar), and TotalAmount (decimal). The most frequent queries retrieve orders for a specific CustomerID within a date range and order the results by OrderDate. Additionally, single order lookups by OrderID must remain fast. Which indexing strategy best satisfies both requirements?

A company uses Azure SQL Database for an order management system. The Orders table has columns: OrderID (int, primary key), CustomerID (int), OrderDate (datetime), Status (varchar), TotalAmount (decimal). Queries frequently filter on CustomerID and OrderDate to find orders from a specific customer within a date range. Which index would most improve performance for these queries?

A company uses Azure SQL Database for a customer management system. The Customers table has columns: CustomerID (int, primary key), FullName (varchar(100)), Email (varchar(200)), SignUpDate (date), LastLoginDate (date). Queries frequently filter on LastLoginDate to find customers who have not logged in for over a year for a promotional campaign. The table has 10 million rows. Which type of index should they create to optimize these queries?

A financial application requires strict consistency and transaction support (ACID). Which Azure data service is most appropriate for storing its core transactional data?

A database designer wants to reduce data redundancy and improve data integrity by splitting a large table into multiple related tables based on functional dependencies. This process is known as:

A company operates a high-volume order processing system on Azure SQL Database. During peak hours, many concurrent transactions try to insert and update rows in the same table, causing contention on page latches. Indexing and query optimization are already tuned. Which feature should the company implement to reduce write contention while preserving ACID properties?

A development team is designing a relational database for a hospital patient management system. They need to ensure that each patient's medical record number is unique and not null. Which database constraint should they use?

A database designer is creating a relational database for a library system. Each book can have multiple authors, and each author may have written many books. To avoid data redundancy, the designer creates a separate Authors table and a BookAuthors junction table. This process of organizing data to reduce redundancy and improve integrity is called:

An e-commerce application uses Azure SQL Database. During flash sales, the database experiences high CPU usage and query timeouts. The team needs a solution that can handle sudden increases in demand without downtime. Which scaling option should they choose?

A company uses Azure SQL Database for its order management system. The database has a table named Orders with columns OrderID (INT, PRIMARY KEY), CustomerID (INT), OrderDate (DATE), TotalAmount (DECIMAL). Queries that filter by OrderDate are slow. The database administrator observes that the nonclustered index on OrderDate has high fragmentation and many page splits. Which action will most likely improve query performance for these date-based queries?

A multinational e-commerce company uses Azure SQL Database active geo-replication to replicate a critical inventory database to a secondary region. During a regional outage, the application automatically fails over to the secondary database. After the primary region recovers, the administrator wants to make the original primary the main database again without losing any data modifications made on the secondary during the outage. What should the administrator do?

A business analyst needs to query a large Azure SQL Database table that stores sales transactions. The table contains over 100 million rows. The analyst wants to retrieve aggregated sales per product category for the current month. The current query performs a full table scan and takes several minutes. Which indexing strategy will best improve the performance of this aggregation query?

An e-commerce company runs a product inventory database on Azure SQL Database. During a flash sale, write transactions are slow because many read queries are running simultaneously and consuming resources. The company wants to isolate read workloads without modifying application code or database schemas. Which Azure SQL Database feature should they implement?

A multinational e-commerce company uses Azure SQL Database for its order processing system. They need to ensure that if an entire Azure region becomes unavailable, the database remains available with minimal data loss and automatic failover. Which feature should they implement?

An e-commerce company uses Azure SQL Database for its product catalog. During promotional events, the database experiences unpredictable spikes in traffic. The company wants a solution that automatically adjusts compute resources based on demand without manual intervention. Which Azure SQL Database option should they use?

A banking application processes fund transfers. When a transfer is executed, the system must either successfully debit one account and credit the other, or if any step fails, the entire operation must be rolled back so no partial changes remain. Which ACID property directly enforces this behavior?

A company uses Azure SQL Database for a financial application. Regulatory compliance requires that database backups be retained for 7 years. The current configuration uses the default point-in-time restore (PITR) retention of 7 days. Which Azure SQL Database feature should the company enable to meet the 7-year retention requirement?

A hospital uses Azure SQL Database to store patient records. The database contains tables for patient information, insurance details, and treatment plans. The system must ensure that if a transaction updates a patient's insurance and their treatment plan in two separate rows, either both updates succeed or both fail. Which ACID property guarantees this behavior?

A company uses Azure SQL Database for an order management system. They have a table 'Orders' with columns: OrderID (PK), CustomerID, OrderDate, TotalAmount. Queries that filter on OrderDate are slow. They create a nonclustered index on OrderDate. However, after many inserts, the index becomes fragmented and page splits occur frequently. Which action should the DBA take to maintain query performance?

A SaaS provider hosts databases for hundreds of clients, each with light and sporadic usage. They notice that using separate single databases with provisioned DTUs is cost-inefficient. They need to consolidate the databases while optimizing cost and ensuring that a busy client does not monopolize resources. Which Azure SQL Database option should they use?

A retail company uses Azure SQL Database for its sales transaction table, which contains over 500 million rows. Queries that filter by OrderDate are slow because the database scans the entire table. The database administrator decides to implement table partitioning on the OrderDate column. What is the primary benefit of this partitioning strategy?

A company uses Azure Synapse Analytics dedicated SQL pool to store a large fact table with billions of rows. The table is distributed using hash distribution on the SaleDate column. Queries that join this fact table with a small dimension table (Product) on ProductID are slow because the join requires shuffling data across distributions. Which design change would most improve the performance of these join queries?

A startup has an application with unpredictable usage patterns on Azure SQL Database. They want to minimize cost by paying only for the compute they use and the database should automatically pause during idle periods. Which Azure SQL Database option should they choose?

A company runs a customer-facing application on an Azure SQL Database. The application experiences high read traffic from reporting queries that cause performance degradation on the primary database. The company needs a solution that offloads reporting queries without impacting the transactional workload, and the solution must keep the reporting data synchronized within seconds. Which feature should they use?

A company uses Azure SQL Database for a sales application. They need to replicate the database to a secondary region for disaster recovery. The secondary should be readable for reporting purposes and data should be synchronized within seconds. Which feature should they use?

A company uses Azure SQL Database to store customer order data. They need to automatically track changes to the 'OrderStatus' column in the 'Orders' table. They want to be able to query the current status and also easily retrieve historical status changes for a given order without writing custom triggers or history tables. Which feature should they enable?

A company uses Azure SQL Database for an order processing system. The Orders table has columns: OrderID (PK), CustomerID, OrderDate, TotalAmount. The Customers table has CustomerID (PK), Name, Email. The database administrator wants to ensure that when a customer record is deleted, all orders for that customer are also automatically deleted. Which database constraint should be implemented?

A company runs an e-commerce application on Azure SQL Database. During seasonal promotions, traffic spikes significantly, but at other times traffic is low. They want to automatically adjust compute resources based on demand without manual intervention or provisioning. Which Azure SQL Database feature should they use?

A database administrator manages an Azure SQL Database with a table that has a clustered index on OrderID. Frequent queries filter on OrderDate and then sort the results by CustomerID. These queries perform poorly. Which indexing strategy will most improve performance for these specific queries?

A company has an on-premises SQL Server 2016 database that uses SQL Server Agent jobs and cross-database queries across multiple databases. They want to migrate to Azure with minimal application changes, requiring native VNet integration and near 100% compatibility with the on-premises SQL Server instance. Which Azure deployment option should they choose?

A company runs a web application on Azure SQL Database that experiences unpredictable spikes in traffic. They want to automatically adjust compute resources based on demand without manual intervention and without over-provisioning. Which Azure SQL Database feature should they use?

A company uses Azure SQL Database for an employee management system. The Employees table has 10 million rows and a clustered index on EmployeeID (the primary key). Queries that filter employees by Department and then sort by HireDate are very slow. Which indexing strategy will most improve performance for these queries?

A company runs an e-commerce application on Azure SQL Database. The application experiences heavy read traffic from reporting dashboards that query the same tables as the transactional workload. This causes performance degradation for the application. The company needs a solution that offloads reporting queries to a read-only copy that stays synchronized within minutes, without impacting transactional performance. Which Azure SQL Database feature should they use?

A company runs an e-commerce application on Azure SQL Database. The application experiences unpredictable traffic spikes during flash sales and promotional events. The company wants to automatically scale compute resources based on actual demand and pay only for the resources consumed. Which Azure SQL Database deployment option best meets these requirements?

A financial application stores transactions in an Azure SQL Database table with columns: TransactionID (clustered index), AccountID, TransactionDate, Amount. Queries frequently filter on AccountID and TransactionDate together. The table contains millions of rows. Which index strategy will most improve query performance for these filters?

A company uses Azure SQL Database for an order management system. The 'Orders' table has millions of rows and is queried frequently with filters on OrderDate and CustomerID. The table currently has a clustered index on OrderID. Which action will most improve query performance for these frequent filters?

A company has multiple independent databases for different business units, each with low to moderate usage and varying workload patterns. They want to consolidate these databases into a single Azure SQL Database deployment option to share resources and reduce costs, while ensuring that databases do not starve each other of resources. Which Azure SQL Database deployment option should they choose?

A company uses Azure SQL Database for an e-commerce application. The Orders table has millions of rows. Queries that filter on CustomerID and order by OrderDate are slow. The table currently has a clustered index on OrderID (the primary key). Which index strategy will best improve these queries?

A company uses Azure SQL Database for an e-commerce system. The Orders table has millions of rows with a clustered index on OrderID (the primary key). Queries that filter on OrderDate and CustomerID to find recent orders for a specific customer are very slow. Which indexing strategy will most improve the performance of these queries?

A company needs to store order data for an e-commerce platform. The system requires high concurrency, fast inserts, and the ability to enforce referential integrity between tables (e.g., Customers and Orders). Which Azure service should they use?

A company uses Azure SQL Database for an inventory management system. The Inventory table has millions of rows. Queries frequently filter on WarehouseID and then sort by LastUpdatedDate. The table currently has a clustered index on InventoryID (primary key). Which action will most improve query performance for these frequent filters?

A company runs an e-commerce application on Azure SQL Database. The Orders table has millions of rows. Queries that filter on CustomerID and order by OrderDate DESC are slow. The table currently has a clustered index on OrderID (the primary key). Which indexing strategy will most improve performance for these queries?

A company uses Azure SQL Database for an HR system. The Employees table has a clustered index on EmployeeID. Queries frequently filter on DepartmentID and LastName and also retrieve the Salary column. The table contains over a million rows. Which index strategy will most improve query performance for these filters?

A company runs a financial application on Azure SQL Database. The Transactions table has a clustered columnstore index to support fast analytical queries on large historical datasets. However, the application also ingests a high volume of new transactions each second, and the columnstore index is causing performance degradation for these real-time inserts. The workload is hybrid (OLTP and OLAP). Which feature should the company implement to improve insert performance while still enabling efficient analytical queries on the table?

A university's enrollment system stores data in a single table with columns: EnrollmentID, StudentID, StudentName, CourseID, CourseName, and Grade. Students can take multiple courses, and each course has multiple students. The team notices data redundancy: StudentName is repeated for each enrollment of the same student, and CourseName is repeated for each enrollment in the same course. They want to reduce redundancy while preserving the ability to query all enrollments with student and course details. What is the most appropriate design approach?

A retail company runs its legacy order management application on an on-premises SQL Server. They plan to migrate to Azure with minimal application changes and need high availability with automatic failover to a secondary Azure region. They also require full database-level isolation and the ability to use SQL Server Agent jobs. Which Azure deployment option should they choose?

A financial application uses Azure SQL Database. The workload consists of a high volume of small, frequent insert operations (OLTP) and periodic complex analytical queries that scan large portions of the same table (OLAP). The table currently has a clustered columnstore index. The inserts are suffering from performance degradation. What should the company do to improve insert performance while still enabling efficient analytical queries?

A global e-commerce company uses Azure SQL Database for its order management system. They need to ensure high availability with the ability to fail over to an Azure region in a different continent in case of a regional outage. They also want to use the secondary database for read-intensive reporting without affecting the primary's performance. Which Azure SQL Database feature should they enable?

A company uses Azure SQL Database for a financial system. The Transactions table contains millions of rows. Queries frequently aggregate data for the current month, but also need to retain historical data for 7 years. The company wants to improve query performance for the monthly aggregations and simplify data archiving. Which design should they implement?

An e-commerce application uses Azure SQL Database. The Orders table stores millions of rows with columns: OrderID (primary key, clustered index), CustomerID, OrderDate, OrderStatus, TotalAmount. Queries frequently filter on OrderDate and OrderStatus, and sort results by OrderDate DESC. Which indexing strategy will most improve query performance for these filters and sort?

A company runs an online booking system on Azure SQL Database. The system handles many concurrent transactions (OLTP). The business team runs complex reporting queries on the same database during business hours, which slows down the booking transactions. The company needs a solution to separate the analytical workload from the transactional workload without duplicating data manually. Which Azure SQL Database feature should they use?

A library management system uses Azure SQL Database. The Books table has 500,000 rows with columns: BookID (primary key, clustered), Title, Author, ISBN, PublishedYear, CopiesAvailable. Queries frequently filter by Author and then sort results by PublishedYear in descending order. Which indexing strategy will most improve query performance?

A company runs individual Azure SQL Databases for each of its departments. The databases experience varying usage patterns; sometimes one database is idle while another is heavily loaded. The company wants to pool resources to reduce cost while ensuring each database gets resources when needed. Which Azure feature should they use?

A company's application uses Microsoft SQL Server with multiple databases that need to run complex queries joining tables across databases. They are migrating to Azure and need a fully managed relational database service with high availability, automated backups, and minimal management overhead. They do not need a separate SQL Server installation and want to avoid managing VMs. Which Azure deployment option should they choose?

A company uses Azure SQL Database for a financial system. The Transactions table contains millions of rows with a TransactionDate column. Queries frequently aggregate sales totals for the current month, but historical data must be retained for 7 years. Currently, queries scan the entire table, causing performance issues. The company also wants to simplify archiving of old data. Which design should they implement?

A retail application uses Azure SQL Database. The Products table contains 200,000 rows with columns: ProductID (primary key, clustered), CategoryID, ProductName, Price, StockQuantity. Queries frequently filter on CategoryID and then sort results by Price in descending order. Which indexing strategy will most improve query performance for these operations?

A company uses Azure SQL Database to store order data. The Orders table has millions of rows with columns: OrderID (primary key, clustered), CustomerID, OrderDate, Status, TotalAmount. Queries frequently filter on OrderDate and Status, and sort results by OrderDate descending. Which indexing strategy will most improve query performance for these filters and sort?

A company runs an e-commerce platform on Azure SQL Database. The database handles many concurrent transactions (OLTP). The business team runs complex reporting queries on the same database during business hours, which slows down the transactional workload. The company wants to offload the reporting queries to a separate read-only copy of the database to avoid performance impact. Which Azure SQL Database feature should they enable?

A company is migrating an on-premises SQL Server database to Azure SQL Managed Instance. The database has a large fact table that is partitioned by date (monthly partitions) to improve query performance and simplify data archiving. The company wants to maintain the same partitioning strategy in Azure to avoid rewriting queries. Which feature in Azure SQL Managed Instance should they use to achieve this?

A company uses Azure SQL Database for an e-commerce application. The Orders table has millions of rows. Queries frequently filter on OrderDate and OrderStatus, and sort by OrderDate descending. Which indexing strategy will most improve query performance?

A library management system uses Azure SQL Database. The Books table has 500,000 rows with columns: BookID (primary key, clustered), Title, Author, ISBN, PublishedYear, CopiesAvailable. Queries frequently filter by Author and then sort results by PublishedYear in descending order. The queries also return the Title and CopiesAvailable columns. Which indexing strategy will most improve query performance for these operations?

A retail company uses Azure SQL Database for an order management system. The Orders table has columns: OrderID (primary key, clustered), CustomerID, OrderDate, TotalAmount. Queries frequently filter on CustomerID and OrderDate, and sort results by OrderDate in descending order. The queries also return the TotalAmount. Which indexing strategy will most improve query performance for these operations?

A small online retailer wants to migrate its single on-premises SQL Server database to Azure. They require a fully managed relational database service with built-in high availability, automated backups, and no need to manage virtual machines. They do not need features like multiple databases with cross-database queries or SQL Agent. Which Azure service should they choose?

A company uses Azure SQL Database for an order management system. The Orders table has millions of rows with columns: OrderID (primary key, clustered), CustomerID, OrderDate, Status (e.g., 'Shipped', 'Pending'), TotalAmount. Queries frequently filter on OrderDate and Status, and sort results by OrderDate in descending order. They return several columns including TotalAmount. Which indexing strategy will most improve query performance?

A company uses Azure SQL Database for an e-commerce platform. The Orders table has columns: OrderID (primary key, clustered), CustomerID, OrderDate, TotalAmount. Queries frequently filter on CustomerID and a range of OrderDate, and then sort the results by OrderDate in descending order. The queries also return the TotalAmount column. Which indexing strategy will most improve query performance for these operations?

A company runs a mission-critical SQL Server database on-premises. They plan to migrate to Azure SQL Database and need to choose the appropriate service tier. The database is currently 500 GB and is expected to grow to 8 TB within two years. The workload is read-heavy with many concurrent users, and they require fast scaling of compute resources without significant downtime. Which Azure SQL Database service tier should they choose?

A retail company runs analytical reporting queries on a large Sales table in Azure SQL Database. The table contains over 100 million rows and is updated daily with new transactions. The queries aggregate data by product and month, scanning millions of rows per query. The company wants to significantly reduce query execution time without changing the queries. Which indexing strategy should they implement?

A company runs an e-commerce application on Azure SQL Database. The database has a table named Orders with columns: OrderID (int, primary key), CustomerID (int), OrderDate (datetime), TotalAmount (decimal). The application frequently runs the following query: SELECT * FROM Orders WHERE CustomerID = 12345 AND OrderDate BETWEEN '2025-01-01' AND '2025-01-31' ORDER BY OrderDate DESC. The table contains 10 million rows. Which index would best optimize this query?

An e-commerce company uses Azure SQL Database for order processing. The Orders table has columns: OrderID (unique, clustered index), CustomerID, OrderDate, Status, TotalAmount. A common query filters on CustomerID and OrderDate, and sorts by OrderDate descending. The query also returns TotalAmount. Which indexing strategy will produce the best query performance?

A company runs a global e-commerce application on Azure SQL Database. The application has a read-intensive workload with millions of users querying product details simultaneously. The database is experiencing high read latency during peak hours due to the volume of concurrent read requests. The company wants to scale read performance without changing the application code and without affecting write operations. Which Azure SQL Database feature should they implement?

A company plans to migrate an on-premises SQL Server database to Azure. The database currently uses SQL Server Agent jobs for scheduled maintenance tasks, cross-database queries, and query store for performance tuning. The database size is 500 GB and needs to scale to 10 TB eventually. They want a managed service that requires minimal application changes. Which Azure relational database service should they choose?