AZ-305 Design data storage solutions Practice Test 14 — 15 Questions

Question 1

A startup is building a social media analytics platform that processes streaming data. They need a data store for time-series events with high write throughput and fast timestamp-based range queries. Which Azure data store is most suitable for this workload?

Choose an answer to begin — your selection is scored in the full session.

Accepted Answer

Azure Table Storage. Azure Table Storage is a NoSQL key-value store that supports high-volume, low-latency writes and efficient range queries on the PartitionKey and RowKey, which can be structured as a timestamp for time-series data. Its schema-less design and ability to scale to massive throughput without sharding overhead make it ideal for streaming event ingestion and timestamp-based retrieval.

Answer

Azure Cosmos DB with SQL API

Answer

Azure SQL Database with columnstore index

Answer

Azure Data Lake Storage Gen2

Question 2

A company ingests millions of IoT events per second from sensors around the world. Each event is a JSON message with timestamp, device ID, and readings. They need to support real-time analytics dashboards and also store all raw data for long-term historical analysis. They want to minimize operational overhead. Which Azure data storage solution should they recommend?

Accepted Answer

Azure Event Hubs with Capture to Azure Data Lake Storage.. Azure Event Hubs is designed for high-throughput data ingestion, capable of handling millions of events per second. By enabling the Capture feature, data is automatically and durably persisted to Azure Data Lake Storage in Avro format, providing a serverless, low-latency pipeline for real-time dashboards while storing raw data for long-term analytics. This minimizes operational overhead by eliminating the need to manage separate ingestion and storage infrastructure.

Answer

Azure Data Lake Storage Gen2 for all data.

Answer

Azure Cosmos DB for both real-time and historical data.

Answer

Azure Time Series Insights (TSI) Standard.

Question 3

A company needs a fully managed NoSQL database for a JSON document-oriented application that requires low latency (single-digit milliseconds) for reads and writes at any scale. The application will run globally and needs multi-region writes with automatic failover. Which Azure data store should they use?

Accepted Answer

Azure Cosmos DB. Azure Cosmos DB is the correct choice because it is a fully managed NoSQL database that natively supports JSON documents, offers single-digit millisecond latency for reads and writes at any scale, and provides multi-region writes with automatic failover through its multi-master replication capability. Its global distribution model allows you to configure multiple write regions, ensuring high availability and low latency worldwide.

Answer

Azure Table Storage

Answer

Azure SQL Database

Answer

Azure Cache for Redis

Question 4

A company wants to store raw data from IoT devices, social media feeds, and transactional databases for analytics. They need a storage solution that supports a hierarchical namespace for organizing data into directories and allows fine-grained access control at the directory and file level. They also need to query the data using Azure Synapse Analytics in-place. Which Azure storage solution should they use?

Accepted Answer

B. Azure Data Lake Storage Gen2 (ADLS Gen2) is the correct choice because it provides a hierarchical namespace that organizes data into directories and subdirectories, supports POSIX-like fine-grained access control at the directory and file level via ACLs, and can be queried in-place by Azure Synapse Analytics using its built-in serverless SQL pool or dedicated SQL pool. This combination of hierarchical namespace, granular security, and direct analytics integration makes it ideal for the described raw data storage and analytics scenario.

Answer

A

Answer

C

Answer

D

Question 5

A company runs a line-of-business application on Azure VMs that requires a highly available, low-latency SMB file share with support for active-active access from multiple VMs. The application requires high IOPS and throughput, and the file share must be mountable on both Linux and Windows VMs. Which Azure file storage solution should they recommend?

Accepted Answer

B. Azure NetApp Files provides a fully managed, high-performance file share service that supports both SMB and NFS protocols. It offers low-latency, high IOPS and throughput, and enables active-active access from multiple VMs. It can be mounted on both Linux and Windows VMs, meeting all stated requirements. While Azure Files Premium also provides SMB shares, Azure NetApp Files is better suited for demanding, low-latency workloads requiring high performance.

Answer

A

Answer

C

Answer

D

Question 6

A media company stores large video files that are accessed once a month for audits. When needed, they must be available for download immediately (within seconds). The company wants to minimize storage costs. Which Azure Blob Storage access tier should they use?

Accepted Answer

Cool tier. The Cool tier is optimal for this scenario because it balances low storage cost with high availability and low latency access. Video files accessed once a month for audits require immediate download (within seconds), which Cool tier supports with the same millisecond latency as Hot tier, but at a lower storage price. Archive tier would introduce a multi-hour rehydration delay, making it unsuitable for on-demand access within seconds.

Answer

Hot tier

Answer

Cold tier

Answer

Archive tier

Question 7

A startup is building a new mobile app backend. They need a fully managed relational database service with built-in high availability, automatic backups, and built-in intelligence to optimize performance. They want to minimize administrative overhead for tasks like patching and scaling. Which Azure service should they use?

Accepted Answer

Azure SQL Database. Azure SQL Database is a fully managed Platform-as-a-Service (PaaS) relational database that includes built-in high availability (99.99% SLA), automatic backups with point-in-time restore, and built-in intelligence features like automatic tuning, adaptive query processing, and intelligent insights. This minimizes administrative overhead for patching, scaling, and performance optimization, making it ideal for a startup that wants to focus on app development rather than database management.

Answer

SQL Server on Azure Virtual Machines

Answer

Azure Database for MySQL

Answer

Azure Cosmos DB

Question 8

A company needs a data storage solution for a global application that frequently accesses recent data and less frequently older data. Data is unstructured blobs. They want to automatically move blobs to cool storage after 30 days and to archive storage after 90 days. Additionally, blobs must be retained for 7 years and cannot be deleted or modified during that period. Which Azure Blob Storage features should they combine?

Accepted Answer

Use blob lifecycle management policies and time-based retention policies.. Blob lifecycle management policies automatically transition blobs from hot to cool after 30 days and to archive after 90 days, while time-based retention policies enforce immutability for a fixed period (7 years), preventing deletion or modification. This combination meets both the tiering and retention requirements without manual intervention.

Answer

Use blob lifecycle management policies and legal hold (immutable blobs).

Answer

Use Azure Storage Analytics and immutability policies.

Answer

Use Azure File Sync and lifecycle management.

Question 9

A company needs a fully managed NoSQL database for a new application with a key-value and document data model. They require single-digit millisecond latency at any scale, multi-region writes with automatic conflict resolution, and a serverless capacity option to handle unpredictable traffic. Which Azure data service should they use?

Accepted Answer

Azure Cosmos DB. Azure Cosmos DB is the correct choice because it is a fully managed NoSQL database that supports both key-value and document data models natively. It guarantees single-digit millisecond latency at any scale, offers multi-region writes with automatic conflict resolution via its multi-master replication, and provides a serverless capacity mode that automatically scales based on demand, making it ideal for unpredictable traffic.

Answer

Azure Table Storage

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Azure Cache for Redis

Answer

Azure SQL Database

Question 10

A company needs to store large amounts of unstructured data (log files) for analytics. The data is accessed frequently for the first 30 days, then occasionally for the next 90 days, and rarely after that but must be retained for 7 years for compliance. The data must not be modified or deleted during the retention period, and administrative access must not be able to bypass this restriction. They want to minimize storage costs. Which combination of Azure Blob Storage features should they configure?

Accepted Answer

Configure a lifecycle management policy to move blobs to Cool tier after 30 days and to Archive tier after 120 days. Apply a time-based retention policy with a retention period of 2,555 days and lock it.. It combines a lifecycle management policy to automatically transition blobs from Hot to Cool after 30 days and to Archive after 120 days, minimizing storage costs. The time-based retention policy with a locked retention period of 2,555 days (7 years) ensures that blobs cannot be modified or deleted during the retention period, and locking the policy prevents administrative bypass, meeting the compliance requirement.

Answer

Enable soft delete and versioning on the storage account, and use a custom script to delete blobs after 7 years. Manually move blobs to Cool and Archive tiers using Azure PowerShell.

Answer

Set each blob's access tier to Cool on upload, then manually change to Archive after 30 days. Enable Azure Backup on the storage account for retention.

Answer

Apply a legal hold on the container to prevent deletion, and configure a lifecycle policy to move blobs to Archive after 30 days.

Question 11

A company runs large-scale analytics workloads using Apache Hadoop and Spark. They need a cloud storage solution that is fully compatible with the Hadoop Distributed File System (HDFS) and provides unlimited storage with high throughput for parallel processing. They also want to take advantage of tiered storage to reduce costs for older data. Which Azure data service should they use?

Accepted Answer

Azure Data Lake Storage Gen2. Azure Data Lake Storage Gen2 (ADLS Gen2) is the correct choice because it combines a hierarchical namespace with Azure Blob Storage, providing full HDFS compatibility. This allows Apache Hadoop and Spark workloads to use the `wasbs://` or `abfss://` driver for unlimited storage and high throughput parallel processing, while also supporting tiered storage (hot, cool, archive) to reduce costs for older data.

Answer

Azure Blob Storage

Answer

Azure Files

Answer

Azure Disk Storage

Question 12

A company is building a petabyte-scale data lake for analytics. They need a storage solution that supports a hierarchical namespace, POSIX-like permissions (ACLs), and is optimized for big data analytics workloads using Apache Spark and Hive. The data must be accessible over the Azure Blob Storage API. Which Azure data service should they use?

Accepted Answer

Azure Data Lake Storage Gen2. Azure Data Lake Storage Gen2 (ADLS Gen2) is the correct choice because it combines a hierarchical namespace with POSIX-like ACLs and is natively optimized for big data analytics workloads like Apache Spark and Hive. It exposes data through the Azure Blob Storage API, meeting all stated requirements for petabyte-scale analytics.

Answer

Azure Blob Storage (with flat namespace)

Answer

Azure NetApp Files

Answer

Azure HPC Cache

Question 13

A software company runs 50 small Azure SQL databases for different clients. Each database has low average usage but unpredictable spikes. The company wants to minimize cost while providing resources for peak loads and easily adding new databases without manual sizing. Which Azure data service should they use?

Accepted Answer

Azure SQL Database elastic pool. Azure SQL Database elastic pool is ideal for multiple databases with low average usage and unpredictable spikes because it allows them to share a fixed set of resources (eDTUs or vCores). This pooling model minimizes cost by only paying for the aggregate peak usage across all databases, not each database's individual peak, and automatically handles resource allocation without manual sizing for new databases.

Answer

Azure SQL Database single databases

Answer

Azure SQL Managed Instance

Answer

SQL Server on Azure Virtual Machines

Question 14

A company runs a custom analytics application that reads data using the NFS 3.0 protocol. The data consists of large files organized in a directory structure. The application also requires POSIX-like access control lists (ACLs) for fine-grained permissions. The solution must be fully managed and support high throughput for parallel reads. Which Azure data service should they use?

Accepted Answer

Azure Data Lake Storage Gen2. Azure Data Lake Storage Gen2 (ADLS Gen2) is the correct choice because it combines a hierarchical namespace with POSIX-like ACLs and supports the NFS 3.0 protocol for high-throughput parallel reads. It is fully managed and designed for big data analytics workloads that require fine-grained permissions and directory structure management.

Answer

Azure Blob Storage

Answer

Azure Files

Answer

Azure NetApp Files

Question 15

A company deploys a web application on Azure VMs. The application stores session state and frequently accessed product data. They need a low-latency, in-memory cache to reduce database load and improve response times. The cache must be managed and support data persistence with replication across availability zones within the region. Which Azure service and tier should they choose?

Accepted Answer

Azure Cache for Redis (Premium tier). Azure Cache for Redis Premium tier is the correct choice because it supports data persistence (RDB/AOF), replication across availability zones via zone redundancy, and provides low-latency, in-memory caching for session state and product data. The Basic tier lacks replication and persistence, Standard tier offers replication but not zone redundancy or persistence, and Enterprise tier is overkill for this scenario, adding unnecessary cost and complexity.

Answer

Azure Cache for Redis (Basic tier)

Answer

Azure Cache for Redis (Standard tier)

Answer

Azure Cache for Redis (Enterprise tier)