Question 283 of 851

Secure, monitor, and optimize data storage and data processing →mediumMultiple ChoiceObjective-mapped

Reduce Write Operations to Azure SQL from Stream Analytics with Windowed Aggregation

This DP-203 practice question tests your understanding of secure, monitor, and optimize data storage and data processing. This is a configuration task: choose the command set that satisfies every stated requirement. Small differences — like 'secret' vs 'password' or 'transport input ssh' vs 'all' — change whether the answer is correct. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.

You are designing a data processing solution using Azure Stream Analytics. You need to ensure that the output to Azure SQL Database is optimized to minimize the number of write operations. Which output configuration should you use?

Clue words in this question

Noticing these words before you look at the options changes how you read each choice.

Clue: "minimum / minimize"
Why it matters: Asks for the least resource use — fewest addresses, smallest subnet, lowest overhead. Eliminate over-provisioned options even if they would technically work.

A
Use a partitioned output to distribute writes across multiple tables.
Why wrong: Using partitioned output distributes writes across multiple tables, which increases parallelism but does not inherently reduce the number of write operations.
B
Set the compatibility level to 1.2.
Why wrong: Setting the compatibility level to 1.2 enables newer features but does not directly optimize write operations.
C
Increase the event serialization format batch size.
Why wrong: Increasing the event serialization format batch size applies to input deserialization, not to output write batching.
D
Use a windowed aggregation to batch writes.
Using windowed aggregation (e.g., TumblingWindow) batches results over time windows, thereby reducing the number of write operations.

Full breakdown with real-world context →

Answer choices

Why each option matters

Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.

Correct answer & explanation

✓

Use a windowed aggregation to batch writes.

Option D is correct because using windowed aggregation (e.g., TumblingWindow, HoppingWindow, SlidingWindow) allows Stream Analytics to collect events over a time window and emit the aggregate result as a single row, significantly reducing the number of write operations to the SQL Database. Option A is incorrect because partitioning increases parallelism but does not batch writes; it may even increase write operations if each partition writes separately. Option B is incorrect because the compatibility level does not affect write batching behavior. Option C is incorrect because the event serialization format batch size is used for input deserialization, not for output write batching.

Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

✗
Use a partitioned output to distribute writes across multiple tables.
Why it's wrong here
Using partitioned output distributes writes across multiple tables, which increases parallelism but does not inherently reduce the number of write operations.
✗
Set the compatibility level to 1.2.
Why it's wrong here
Setting the compatibility level to 1.2 enables newer features but does not directly optimize write operations.
✗
Increase the event serialization format batch size.
Why it's wrong here
Increasing the event serialization format batch size applies to input deserialization, not to output write batching.
✓
Use a windowed aggregation to batch writes.
Why this is correct
Using windowed aggregation (e.g., TumblingWindow) batches results over time windows, thereby reducing the number of write operations.
Clue confirmation
The clue word "minimum / minimize" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.

Common exam traps

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.

Trap categories for this question

Command / output trap
Using partitioned output distributes writes across multiple tables, which increases parallelism but does not inherently reduce the number of write operations.

Detailed technical explanation

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.

Key takeaway

Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.

Real-world example

How this comes up in practice

A cloud solutions architect for a retail company is evaluating services for a new workload. The correct answer here reflects best practice for the specific scenario described — not a general cloud recommendation. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. Cloud exam questions reward reading the constraint carefully: the same technology can be right or wrong depending on the use case.

What to study next

Got this wrong? Here's your next step.

Identify which DP-203 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.

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FAQ

Questions learners often ask

What does this DP-203 question test?

Secure, monitor, and optimize data storage and data processing — This question tests Secure, monitor, and optimize data storage and data processing — Read the scenario before looking for a memorised answer..

What is the correct answer to this question?

The correct answer is: Use a windowed aggregation to batch writes. — Option D is correct because using windowed aggregation (e.g., TumblingWindow, HoppingWindow, SlidingWindow) allows Stream Analytics to collect events over a time window and emit the aggregate result as a single row, significantly reducing the number of write operations to the SQL Database. Option A is incorrect because partitioning increases parallelism but does not batch writes; it may even increase write operations if each partition writes separately. Option B is incorrect because the compatibility level does not affect write batching behavior. Option C is incorrect because the event serialization format batch size is used for input deserialization, not for output write batching.

What should I do if I get this DP-203 question wrong?

Are there clue words in this question I should notice?

Yes — watch for: "minimum / minimize". Asks for the least resource use — fewest addresses, smallest subnet, lowest overhead. Eliminate over-provisioned options even if they would technically work.

What is the key concept behind this question?

Read the scenario before looking for a memorised answer.

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