mediummultiple choiceObjective-mapped

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?

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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?

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

Distractor review

Create a clustered columnstore index on the entire table.

Incorrect. While a columnstore index can improve analytical query performance, it does not simplify archiving and may degrade insert performance. Partitioning is better for this scenario.

B

Best answer

Partition the table by month and create aligned indexes.

Correct. Partitioning by month supports partition elimination for monthly queries and allows for easy partition switching to archive old data.

C

Distractor review

Use Azure SQL Database elastic pool for the database.

Incorrect. Elastic pools manage resource sharing across databases, not table performance or archiving.

D

Distractor review

Implement transparent data encryption.

Incorrect. Transparent data encryption (TDE) encrypts data at rest but does not improve query performance or simplify archiving.

Common exam trap

Common exam trap: NAT rules depend on direction and matching traffic

NAT is not only about the public address. The inside/outside interface roles and the ACL or rule that matches traffic are just as important.

Technical deep dive

How to think about this question

NAT questions usually test address translation, overload/PAT behaviour, static mappings and whether the right traffic is being translated. Read the interface direction and address terms carefully.

KKey Concepts to Remember

  • Static NAT maps one inside address to one outside address.
  • PAT allows many inside hosts to share one public address using ports.
  • Inside local and inside global describe the private and translated addresses.
  • NAT ACLs identify traffic for translation, not always security filtering.

TExam Day Tips

  • Identify inside and outside interfaces first.
  • Check whether the scenario needs static NAT, dynamic NAT or PAT.
  • Do not confuse NAT matching ACLs with normal packet-filtering intent.

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?

Static NAT maps one inside address to one outside address.

What is the correct answer to this question?

The correct answer is: Partition the table by month and create aligned indexes. — Partitioning the Transactions table by month allows the database engine to perform partition elimination, scanning only the relevant partition(s) for monthly aggregations. Partition switching also enables efficient archiving of old data. Clustered columnstore indexes can improve compression and analytical performance but do not offer the same ease of archiving. Partitioning is the standard approach for managing large temporal tables.

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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