Question 1hardmultiple choice
Full question →hardmultiple choiceObjective-mapped
A company needs to store and analyze petabytes of semi-structured data from IoT devices. The data is append-only and written in time order. They need to support fast queries on time ranges and also aggregate data in real-time. Which Azure data service should they use?
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
Azure Data Explorer
ADX (Kusto) is built for real-time analysis on large volumes of streaming data. It supports efficient time-series queries, ingestion from IoT sources, and real-time aggregations.
B
Distractor review
Azure Cosmos DB
Cosmos DB is a document and NoSQL database optimized for low-latency transactional workloads, not for petabyte-scale append-only time-series analytics.
C
Distractor review
Azure SQL Database
Azure SQL Database is a relational database that struggles with the scale and append-only nature of massive IoT data and lacks native time-series optimization.
D
Distractor review
Azure Table Storage
Table Storage is a key-value store for structured data but cannot efficiently handle petabytes of time-series data with real-time aggregation requirements.
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.
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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 company is designing hub-and-spoke networking. Spoke VNets must use a central Azure Firewall for outbound internet traffic. Which two configurations are required?
Question 2
A company is designing private access to a PaaS database from workloads in a VNet. The database should not be reachable over its public endpoint. What should be recommended?
Question 3
A data platform must support analytical queries over petabytes of files in a data lake, while preserving hierarchical namespaces and fine-grained ACLs. Which storage service should you design around?
Question 4
A database workload has an RPO of 15 minutes and an RTO of 4 hours. Cost is more important than near-zero data loss. Which design is usually more appropriate than synchronous multi-region replication?
Question 5
A hub-and-spoke Azure network must centralize outbound inspection and still allow spokes to resolve private endpoint DNS names. Which two components are commonly required? (Choose 2.)
Question 6
A multinational company uses Microsoft Entra ID and several Azure subscriptions. Security administrators need to review privileged role assignments every month and require justification for continued access. Which design should be recommended?
FAQ
Questions learners often ask
What does this AZ-305 question test?
Read the scenario before looking for a memorised answer.
What is the correct answer to this question?
The correct answer is: Azure Data Explorer — Azure Data Explorer (ADX) is optimized for interactive analytics on large volumes of streaming and time-series data. It handles petabytes of semi-structured data, provides fast time-range queries, and supports real-time aggregation with low latency. Cosmos DB is document-oriented and not designed for petabyte-scale append-only time-series with complex aggregations. SQL Database and Table Storage lack the scale and query performance for this workload.
What should I do if I get this AZ-305 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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