Question 1mediummultiple choice
Full question →mediummultiple choiceObjective-mapped
A company ingests millions of IoT sensor data points per second. They need a fully managed analytics service optimized for time-series data that can ingest high-velocity data, perform real-time analytics, and store data for historical analysis. The solution must integrate with Azure Stream Analytics for stream processing. Which Azure data service should they choose?
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
Azure Cosmos DB
Cosmos DB does support time-series but is not optimized for high-velocity ingestion and real-time analytics like ADX.
B
Distractor review
Azure SQL Database
Azure SQL Database is a relational database best for OLTP workloads, not designed for high-throughput time-series ingestion.
C
Best answer
Azure Data Explorer (ADX)
ADX is purpose-built for large-scale time-series data, providing rapid data ingestion, real-time analytics, and seamless integration with Azure Stream Analytics.
D
Distractor review
Azure Blob Storage
Azure Blob Storage is object storage without native analytics query capabilities, requiring additional services like Azure Data Lake Analytics for processing.
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.
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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?
Static NAT maps one inside address to one outside address.
What is the correct answer to this question?
The correct answer is: Azure Data Explorer (ADX) — Azure Data Explorer (ADX) is specifically designed for time-series data, offering high ingestion throughput, low-latency queries, and integration with Azure Stream Analytics. Azure Cosmos DB is a multi-model NoSQL database but not optimized for time-series. Azure SQL Database is a relational database not intended for high-velocity time-series ingestion. Azure Blob Storage is an object storage service and lacks native analytics capabilities.
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.
Discussion
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