This DP-203 practice question tests your understanding of develop data processing. The scenario asks you to isolate a root cause — eliminate options that address a different problem before choosing. 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 a Data Engineer at Contoso Ltd. The company operates an e-commerce platform that generates streaming data from user interactions (clicks, page views, purchases) at a rate of 50,000 events per second. The data is ingested into Azure Event Hubs. You need to design a data processing solution that meets the following requirements:
1. Real-time dashboards must display aggregated metrics (e.g., total sales, active users) with a latency of less than 2 seconds.
2. Historical data must be stored in Azure Data Lake Storage Gen2 in Delta Lake format for batch analytics.
3. The solution must support exactly-once semantics for the streaming output to both the dashboard and the data lake.
4. You must use Azure Stream Analytics as the primary processing engine.
5. The output to the dashboard should use Azure Power BI, while the output to the data lake should use Azure Synapse Analytics serverless SQL pool for querying.
You have configured an Azure Stream Analytics job with Event Hubs as input. For output, you added a Power BI dataset and an Azure Data Lake Storage Gen2 output. However, you discover that the Power BI dataset is being updated with duplicate records, and the data lake output sometimes misses small windows of data during job restarts. Which two actions should you take to meet the requirements? (Choose two.)
A. Change the Power BI output to use the 'Exactly once' output mode.
B. Change the Event Hubs compatibility level to 1.0 to guarantee exactly-once.
C. Enable checkpointing in the Stream Analytics job and use the 'Exactly once' output mode for the Azure Data Lake Storage Gen2 output.
D. Use a second Stream Analytics job: one for Power BI with 'At least once' mode, and another for the data lake with 'Exactly once' mode.
Clue words in this question
Noticing these words before you look at the options changes how you read each choice.
Clue: "least"
Why it matters: You want the option with minimum overhead, fewest steps, or lowest impact — not the most feature-rich or comprehensive answer.
Clue: "primary"
Why it matters: Asks for the main purpose or function, not a secondary benefit. Eliminate answers that describe side-effects or partial functions.
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Enable checkpointing in the Stream Analytics job and use the 'Exactly once' output mode for the Azure Data Lake Storage Gen2 output.
Option A is correct because Power BI output supports 'Exactly once' mode to avoid duplicates. Option C is correct because enabling checkpointing ensures no data loss during restarts, and 'Exactly once' mode for ADLS Gen2 ensures exactly-once delivery. Option B is wrong because compatibility level 1.0 is outdated and does not guarantee exactly-once. Option D is wrong because it adds complexity and does not solve the issue of duplicates on Power BI.
Key principle: NAT direction and interface roles matter as much as the IP address mapping. Inside/outside designation controls which traffic is translated.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
✓
Enable checkpointing in the Stream Analytics job and use the 'Exactly once' output mode for the Azure Data Lake Storage Gen2 output.
Why this is correct
Checkpointing prevents data loss; exactly-once mode ensures no duplicates.
Clue confirmation
The clue words "least", "primary" in the question point toward this answer.
Related concept
Static NAT maps one inside address to one outside address.
✓
Change the Power BI output to use the 'Exactly once' output mode.
Why this is correct
Eliminates duplicates in Power BI.
Clue confirmation
The clue words "least", "primary" in the question point toward this answer.
Related concept
Static NAT maps one inside address to one outside address.
✗
Change the Event Hubs compatibility level to 1.0 to guarantee exactly-once.
Why it's wrong here
Compatibility level 1.0 is deprecated; does not provide exactly-once.
✗
Use a second Stream Analytics job: one for Power BI with 'At least once' mode, and another for the data lake with 'Exactly once' mode.
Why it's wrong here
Adding a second job adds complexity and does not fix duplicates on Power BI.
Common exam traps
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.
Detailed technical explanation
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.
Key takeaway
NAT direction and interface roles matter as much as the IP address mapping. Inside/outside designation controls which traffic is translated.
Real-world example
How this comes up in practice
A media company stores terabytes of video archives that are accessed once a year for audit purposes. Moving these objects to a cold storage tier (Azure Archive, S3 Glacier, or Google Nearline) costs a fraction of hot storage. Questions like this test whether you understand storage tiers, access frequency tradeoffs, and retrieval latency requirements.
Related glossary terms
Concepts from this question explained
These glossary pages explain the core terms tested in this DP-203 question in full detail.
Review the four NAT address types (inside local, inside global, outside local, outside global), PAT port overload, and static vs dynamic NAT use cases. Then practise related DP-203 NAT questions on configuration and troubleshooting.
Develop data processing — This question tests Develop data processing — Static NAT maps one inside address to one outside address..
What is the correct answer to this question?
The correct answer is: Enable checkpointing in the Stream Analytics job and use the 'Exactly once' output mode for the Azure Data Lake Storage Gen2 output. — Option A is correct because Power BI output supports 'Exactly once' mode to avoid duplicates. Option C is correct because enabling checkpointing ensures no data loss during restarts, and 'Exactly once' mode for ADLS Gen2 ensures exactly-once delivery. Option B is wrong because compatibility level 1.0 is outdated and does not guarantee exactly-once. Option D is wrong because it adds complexity and does not solve the issue of duplicates on Power BI.
What should I do if I get this DP-203 question wrong?
Review the four NAT address types (inside local, inside global, outside local, outside global), PAT port overload, and static vs dynamic NAT use cases. Then practise related DP-203 NAT questions on configuration and troubleshooting.
Are there clue words in this question I should notice?
Yes — watch for: "least", "primary". You want the option with minimum overhead, fewest steps, or lowest impact — not the most feature-rich or comprehensive answer.
What is the key concept behind this question?
Static NAT maps one inside address to one outside address.
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Question Discussion
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