The answer is ReadItemAsync with id and partition key, as this is the most efficient API call pattern for point reads in Cosmos DB. This method directly accesses the document by routing the request to the exact physical partition and replica using the partition key and item ID, requiring only a single request and consuming the absolute minimum request units (RUs) possible for a read operation. On the AZ-204 exam, this tests your understanding of Cosmos DB’s resource model and the critical difference between point reads and queries—point reads use direct access by id and partition key, while queries always incur additional RU overhead from indexing and potential cross-partition scans. A common trap is choosing a SQL query with a WHERE clause filtering by id and partition key, which still triggers the query engine and costs more RUs. Remember the memory tip: “Point read = direct hit; query = search mission.”
AZ-204 Develop for Azure storage Practice Question
This AZ-204 practice question tests your understanding of develop for azure storage. Read the scenario carefully and evaluate each option against the stated constraints before committing to an answer. 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 .NET app performs point reads from Cosmos DB by id and partition key. The team wants the lowest latency and best throughput efficiency. Which API call pattern should be used?
Clue words in this question
Noticing these words before you look at the options changes how you read each choice.
Clue: "best"
Why it matters: Signals that multiple options may be partially correct. Choose the option that most directly solves the exact problem described, not the one that sounds most complete.
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
ReadItemAsync with id and partition key
ReadItemAsync with id and partition key is the most efficient API call pattern for point reads in Cosmos DB because it directly accesses the document using the partition key and item ID, requiring only a single request to the exact partition and replica. This avoids the overhead of querying multiple partitions or scanning all items, resulting in the lowest latency and best throughput efficiency, as it consumes the minimum request units (RUs) possible for a read operation.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
✓
ReadItemAsync with id and partition key
Why this is correct
Point reads using id plus partition key are more efficient than SQL queries for single-item lookup.
Clue confirmation
The clue word "best" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
✗
Stored procedure scanning all items
Why it's wrong here
Scanning is inefficient and unnecessary.
✗
Change feed processor
Why it's wrong here
The change feed processes changes and is not a point-read API.
✗
SELECT * query without partition key
Why it's wrong here
Cross-partition queries are less efficient for single-item reads.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates may confuse efficient point reads with query-based approaches or event-driven patterns, mistakenly believing that stored procedures or change feed processors can achieve lower latency, when in reality they introduce unnecessary overhead for simple single-item lookups.
Detailed technical explanation
How to think about this question
Under the hood, Cosmos DB uses a hash-based partitioning scheme where the partition key determines the physical partition and replica set. A point read with ReadItemAsync leverages the partition key to route the request directly to the correct partition, hitting the primary replica for strong consistency or any replica for eventual consistency, with a typical RU cost of 1 RU for a 1 KB document. In contrast, cross-partition queries require the gateway or SDK to fan out requests to all partitions, aggregate results, and consume RUs proportional to the number of partitions and data scanned, which can be orders of magnitude higher.
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.
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
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
How this comes up in practice
A company's IT admin needs to give a contractor read-only access to production logs without sharing account credentials. Using role-based access control (RBAC) and temporary scoped permissions — not a permanent shared password — is the correct pattern. Questions like this test whether you can apply least-privilege access across cloud identity services.
Related glossary terms
Concepts from this question explained
These glossary pages explain the core terms tested in this AZ-204 question in full detail.
Develop for Azure storage — This question tests Develop for Azure storage — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: ReadItemAsync with id and partition key — ReadItemAsync with id and partition key is the most efficient API call pattern for point reads in Cosmos DB because it directly accesses the document using the partition key and item ID, requiring only a single request to the exact partition and replica. This avoids the overhead of querying multiple partitions or scanning all items, resulting in the lowest latency and best throughput efficiency, as it consumes the minimum request units (RUs) possible for a read operation.
What should I do if I get this AZ-204 question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Are there clue words in this question I should notice?
Yes — watch for: "best". Signals that multiple options may be partially correct. Choose the option that most directly solves the exact problem described, not the one that sounds most complete.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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