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AZ-204 Practice Question: Table Storage partition key design for…

This AZ-204 practice question tests your understanding of table storage partition key design for…. 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. A key principle to apply: azure Table Storage. 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.

An application stores sensor readings in Azure Table Storage. Each sensor produces thousands of readings per hour. Queries always filter by sensor ID and time range. A developer needs to choose the partition key and row key. Which design best balances query performance and write throughput?

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An application stores sensor readings in Azure Table Storage. Each sensor produces thousands of readings per hour. Queries always filter by sensor ID and time range. A developer needs to choose the partition key and row key. Which design best balances query performance and write throughput?

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

Partition key: sensor ID; row key: ISO timestamp of the reading

Co-locating readings by sensor ID allows the storage engine to scan only that partition for time-range queries. Timestamp row keys are naturally ordered, so range queries resolve efficiently without scanning unrelated partitions.

B

Distractor review

Partition key: a single constant ('all-sensors'); row key: sensor ID + timestamp

A single partition for all sensors creates a hot partition. Every write lands in one partition, which Table Storage rate-limits at the partition level. This becomes a bottleneck at high write volumes.

C

Distractor review

Partition key: timestamp (rounded to the hour); row key: sensor ID

Partitioning by time means queries filtering by sensor ID must scan all partitions, because a sensor's readings are spread across many time-based partitions. This eliminates the locality benefit of partitioning.

D

Distractor review

Partition key: random GUID per reading; row key: timestamp

Random GUIDs as partition keys distribute writes evenly but destroy locality completely. Querying by sensor ID requires scanning all partitions, making range queries O(n) across the entire table.

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

Treat this as a scenario question. Identify the problem, the constraint, and the best action. Then compare each option against those facts.

KKey Concepts to Remember

  • Azure Table Storage
  • partition key design
  • row key ordering
  • hot partition

TExam Day Tips

  • 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

Azure Table Storage

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FAQ

Questions learners often ask

What does this AZ-204 question test?

Azure Table Storage

What is the correct answer to this question?

The correct answer is: Partition key: sensor ID; row key: ISO timestamp of the reading — Using sensor ID as the partition key co-locates all readings for a sensor in the same partition, enabling efficient range scans within a sensor. Using an ISO timestamp as the row key provides lexicographic ordering, making time-range queries on a single sensor fast without a full table scan. This is the standard time-series design for Table Storage.

What should I do if I get this AZ-204 question wrong?

Review azure Table Storage, then practise related AZ-204 questions on the same topic to reinforce the concept.

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