Question 1mediummultiple choice
Full question →DP-900 · topic practice
Describe An Analytics Workload On Azure practice questions
Use this page to practise DP-900 Describe An Analytics Workload On Azure practice questions. The goal is not to memorise dumps, but to understand the concept, review the explanation and improve your exam readiness.
What the exam tests
What to know about Describe An Analytics Workload On Azure
Cloud concepts questions usually test the service model (IaaS/PaaS/SaaS) and deployment model (public/private/hybrid/community) appropriate for a given scenario.
IaaS, PaaS and SaaS responsibilities and examples.
Public, private, hybrid and community cloud deployment models.
On-premises vs cloud trade-offs: cost, control, scalability.
How cloud connectivity options (VPN, Direct Connect, ExpressRoute) work.
Practice set
Describe An Analytics Workload On Azure questions
20 questions · select your answer, then reveal the explanation
Question 2mediummultiple choice
Full question →A data engineer needs to query data stored in CSV files in Azure Data Lake Storage Gen2 using T-SQL in Azure Synapse Analytics, without loading the data into the database. Which feature should they use?
Question 3mediummultiple choice
Full question →A data engineer needs to process raw clickstream data from multiple websites that is stored in Azure Blob Storage as JSON files. The processing must run automatically every hour, transform the data into a structured format for reporting, and handle schema changes in the source data without manual intervention. Which Azure service should be used?
Question 4mediummultiple choice
Full question →A data engineer is designing a data lake architecture in Azure. They plan to first ingest raw data from various sources into a landing zone in Azure Data Lake Storage Gen2. Then they will clean, validate, and deduplicate that data in a second zone. Finally, they will create aggregated, business-ready datasets in a third zone for analysts. This layered approach is known as which architecture?
Question 5mediummultiple choice
Full question →A data engineer needs to transform large datasets stored in Azure Data Lake Storage Gen2 using Python and Apache Spark. They want a serverless compute option that automatically scales and requires no cluster management. Which Azure service should they use?
Question 6easymultiple choice
Full question →A company collects customer feedback forms. Each form contains always-present fields like CustomerID and SubmissionDate, but also a free-text Comments field and optional fields like Rating or ProductCategory that vary between forms. How should this data be classified?
Question 7easymultiple choice
Full question →A company archives legal documents that must be kept for 10 years. Access to these documents is extremely rare (maybe once a year). They want to minimize storage costs. Which Azure Blob Storage access tier is most cost-effective for this data?
Question 8mediummultiple choice
Full question →A company collects temperature readings from IoT sensors every second. Each reading includes a timestamp, sensor ID, and temperature value. The data is used for real-time monitoring and historical trend analysis. Which type of data is this most likely classified as?
Question 9easymultiple choice
Full question →A bank processes online fund transfers. Each transaction must ensure that either both the debit from the sender's account and the credit to the receiver's account occur, or if any part fails, the entire transaction is rolled back. Which ACID property does this guarantee?
Question 10hardmultiple choice
Full question →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?
Question 11hardmultiple choice
Full question →A company is building a data lake and collects data from three sources: (1) a relational database exporting CSV files with fixed columns for customer records, (2) API responses stored as JSON files with varying fields for product reviews, and (3) scanned handwritten notes stored as TIFF images. Which statement correctly categorizes these data by structure type?
Question 12mediummultiple choice
Full question →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?
Question 13easymultiple choice
Full question →A car manufacturing company has two data processing systems: one system processes real-time sensor data from assembly lines to immediately detect equipment failures, and another system processes historical production records to generate monthly efficiency reports. Which two types of data processing workloads best describe these systems?
Question 14mediummultiple choice
Full question →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?
Question 15easymultiple choice
Full question →A company maintains a database of customer orders that are updated frequently. They also store aggregated monthly sales reports that are generated once and then only read. Which statement correctly distinguishes these two types of data workloads?
Question 16mediummultiple choice
Full question →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?
Question 17mediummultiple choice
Full question →A company receives real-time clickstream data from its website via Azure Event Hubs. They need to detect fraudulent clicks within seconds and also produce daily aggregate reports of visitor statistics for historical analysis. Which combination of Azure services should they use for the real-time detection and the daily aggregation, respectively?
Question 18hardmultiple choice
Full question →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?
Question 19mediummultiple choice
Full question →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?
Question 20easymultiple choice
Full question →A bank's online transaction processing system records every withdrawal and deposit in a database. The bank also runs a monthly report that summarizes total transactions per customer. Which statement correctly identifies these two workloads?
Watch out for
Common Describe An Analytics Workload On Azure exam traps
- ▸IaaS gives you infrastructure control; SaaS gives you only the application.
- ▸Hybrid cloud combines on-premises and public cloud — not two public clouds.
- ▸Cloud does not automatically mean cheaper or more secure.
- ▸Management responsibility shifts with each service model (IaaS → PaaS → SaaS).
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Frequently asked questions
- What does the DP-900 exam test about Describe An Analytics Workload On Azure?
- Cloud concepts questions usually test the service model (IaaS/PaaS/SaaS) and deployment model (public/private/hybrid/community) appropriate for a given scenario.
- How should I use these practice questions?
- Select your answer before revealing the explanation. Then read why each option is right or wrong — this active recall approach builds retention far faster than re-reading notes.
- Can I practise just Describe An Analytics Workload On Azure questions in a focused session?
- Yes — the session launcher on this page draws every question from the Describe An Analytics Workload On Azure domain. Use a 10-question session first to gauge your baseline, then move to 20 or 30 once the weak spots are clear.
- Where can I practise other DP-900 topics?
- Use the topic links above to move to related areas, or go back to the DP-900 question bank to see all topics.
- Are these real exam questions or dumps?
- These are original practice questions written to test the same concepts the DP-900 exam covers. They are not copied from any real exam or dump site.
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Exam traps to avoid
- ▸IaaS gives you infrastructure control; SaaS gives you only the application.
- ▸Hybrid cloud combines on-premises and public cloud — not two public clouds.
- ▸Cloud does not automatically mean cheaper or more secure.
- ▸Management responsibility shifts with each service model (IaaS → PaaS → SaaS).