Quick Answer
The answer is Azure Synapse Analytics, as it is purpose-built for running complex analytics queries on Azure Data Lake Storage Gen2 with sub-second performance. This is achieved through its massively parallel processing (MPP) architecture, which distributes query execution across multiple nodes to enable fast joins and aggregations on petabyte-scale datasets. On the Microsoft Azure Solutions Architect Expert AZ-305 exam, this scenario tests your ability to differentiate between data analytics services: Azure Stream Analytics handles real-time streaming, Azure Data Explorer excels at time-series but not large-scale joins from Data Lake, and Azure Databricks is optimized for big data pipelines rather than interactive SQL. A common trap is choosing Azure Data Explorer for time-series data, but remember that Synapse is the only service that combines MPP with native Data Lake Gen2 integration for instant query results. Memory tip: think “Synapse = SQL + Speed on the Lake.”
This AZ-305 practice question tests your understanding of design data storage solutions. Match the stated requirement to the specific cloud service, access model, or configuration option — many options are valid in isolation but not for this scenario. 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.
A company stores petabytes of sensor data in Azure Data Lake Storage Gen2. They need to run complex analytics queries that involve joining multiple datasets and aggregating time-series data. The queries must complete within seconds. Which Azure service should they use for querying?
Azure Stream Analytics
Why wrong: Stream Analytics is for real-time streaming, not batch analytics.
Azure Data Explorer
Why wrong: ADX is for time-series, but not as efficient for complex joins across large datasets.
Azure Synapse Analytics
Synapse provides MPP engine for fast interactive queries on data lake data.
Azure Databricks
Why wrong: Databricks is for big data processing, but interactive SQL queries may be slower than Synapse.
Answer choices
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
Azure Synapse Analytics
Azure Synapse Analytics (formerly SQL Data Warehouse) provides massively parallel processing (MPP) for fast analytics on data lakes. Azure Stream Analytics is for real-time streaming. Azure Data Explorer is for time-series but not optimized for joining large datasets from Data Lake. Azure Databricks is good for big data but not as fast for interactive SQL queries.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
For each option: why learners choose it and why it is or isn't the right answer here.
Azure Stream Analytics
Why it's wrong here
Stream Analytics is for real-time streaming, not batch analytics.
Azure Data Explorer
Why it's wrong here
ADX is for time-series, but not as efficient for complex joins across large datasets.
Azure Synapse Analytics
Why this is correct
Synapse provides MPP engine for fast interactive queries on data lake data.
Related concept
Read the scenario before looking for a memorised answer.
Azure Databricks
Why it's wrong here
Databricks is for big data processing, but interactive SQL queries may be slower than Synapse.
Common exam traps
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.
Detailed technical explanation
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.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
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.
What to study next
Identify which AZ-305 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.
Design data storage solutions — study guide chapter
Learn the concepts, then practise the questions
Design data storage solutions practice questions
Targeted practice on this topic area only
All AZ-305 questions
999 questions across all exam domains
Microsoft Azure Solutions Architect Expert AZ-305 study guide
Full concept coverage aligned to exam objectives
AZ-305 practice test guide
How to use practice tests most effectively before exam day
Related practice questions
Use these pages to review the topic behind this question. This is how one missed question becomes focused revision.
Practise AZ-305 questions linked to Design identity, governance, and monitoring solutions.
Practise AZ-305 questions linked to Design data storage solutions.
Practise AZ-305 questions linked to Design business continuity solutions.
Practise AZ-305 questions linked to Design infrastructure solutions.
Practise AZ-305 questions linked to SAA-C03 VPC.
Practise AZ-305 questions linked to SAA-C03 S3 lifecycle policy questions.
Practise AZ-305 questions linked to SAA-C03 RDS Multi-AZ questions.
Practise AZ-305 questions linked to SAA-C03 IAM policy.
Practise AZ-305 questions linked to SAA-C03 Route 53 failover questions.
Practise AZ-305 questions linked to SAA-C03 CloudFront.
Practise AZ-305 questions linked to SAA-C03 NAT gateway questions.
Practise AZ-305 questions linked to SAA-C03 VPC endpoint questions.
Practice this exam
Short sessions build daily habit. Longer sessions build exam-day stamina. Try a timed session to simulate real conditions.
FAQ
Design data storage solutions — This question tests Design data storage solutions — Read the scenario before looking for a memorised answer..
The correct answer is: Azure Synapse Analytics — Azure Synapse Analytics (formerly SQL Data Warehouse) provides massively parallel processing (MPP) for fast analytics on data lakes. Azure Stream Analytics is for real-time streaming. Azure Data Explorer is for time-series but not optimized for joining large datasets from Data Lake. Azure Databricks is good for big data but not as fast for interactive SQL queries.
Identify which AZ-305 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.
Read the scenario before looking for a memorised answer.
About these practice questions
Courseiva creates original exam-style practice questions with explanations and wrong-answer analysis. It does not publish real exam questions, exam dumps, or protected exam content. Learn why practice questions differ from exam dumps →
Last reviewed: Jun 20, 2026
This AZ-305 practice question is part of Courseiva's free Microsoft certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the AZ-305 exam.
Question Discussion
Share a tip, memory trick, or ask about the reasoning behind this question. Do not post real exam questions, leaked content, braindumps, or copyrighted exam material. Comments are moderated and may be removed without notice.
Sign in to join the discussion.