Question 1mediummultiple choice
Full question →mediummultiple choiceObjective-mapped
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?
Answer choices
Why each option matters
Good practice is not just finding the correct option. The wrong answers often show the exact trap the exam wants you to fall into.
A
Best answer
Active geo-replication
Active geo-replication allows you to create up to four readable secondary databases in the same or different regions. Application read queries can be directed to these secondaries, distributing the read load and improving performance without modifying application logic.
B
Distractor review
Elastic pools
Elastic pools are used for managing and scaling multiple databases that have unpredictable usage patterns, sharing a fixed set of resources. They do not provide isolated read replicas to offload read queries from a single primary database.
C
Distractor review
In-memory OLTP
In-memory OLTP accelerates transaction processing by storing data in memory, which is beneficial for write-heavy OLTP workloads. It does not directly provide additional read capacity for read-intensive workloads.
D
Distractor review
Columnstore indexes
Columnstore indexes are designed for analytical queries that scan large amounts of data. They can improve read performance for aggregations but do not offload the primary database from concurrent read requests like a separate read replica would.
Common exam trap
Common exam trap: answer the scenario, not the keyword
Many certification questions include familiar terms but test a specific constraint. Read the exact wording before choosing an answer that is generally true but wrong for this case.
Technical deep dive
How to think about this question
This question should be treated as a scenario, not a definition check. Identify the problem, the constraint and the best action. Then compare each option against those facts.
KKey Concepts to Remember
- Read the scenario before looking for a memorised answer.
- Find the constraint that changes the correct option.
- Eliminate answers that are true in general but not in this case.
- Use explanations to understand the rule behind the answer.
TExam Day Tips
- Underline the problem statement mentally.
- Watch for words such as best, first, most likely and least administrative effort.
- Review why wrong options are wrong, not only why the correct option is correct.
Related practice questions
Related DP-900 practice-question pages
Use these pages to review the topic behind this question. This is how one missed question becomes focused revision.
More questions from this exam
Keep practising from the same exam bank, or move into a focused topic page if this question exposed a weak area.
Question 1
A data engineer needs to process streaming data from IoT devices and store the results in Azure Data Lake Storage for long-term analytics. The data must be processed in near real-time to detect anomalies and trigger alerts. Which Azure service should the engineer use for stream processing?
Question 2
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 3
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 4
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 5
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 6
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?
FAQ
Questions learners often ask
What does this DP-900 question test?
Read the scenario before looking for a memorised answer.
What is the correct answer to this question?
The correct answer is: Active geo-replication — Active geo-replication creates readable secondary replicas in the same or different Azure regions. Application read-only queries can be directed to these replicas, offloading the primary database and reducing read latency. This is ideal for read-intensive workloads. Read Scale-Out only works with the Hyperscale service tier and provides a single readable secondary. Active geo-replication supports multiple readable secondaries (up to 4) and does not require the Hyperscale tier.
What should I do if I get this DP-900 question wrong?
Then try more questions from the same exam bank and focus on understanding why the wrong options are tempting.
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