Question 533 of 982

Describe considerations for working with non-relational data on Azure →mediumMultiple ChoiceObjective-mapped

Quick Answer

The correct answer is to use ST_WITHIN to specify the bounding box polygon and add a WHERE clause for speed. This approach is efficient because Azure Cosmos DB’s Core (SQL) API natively supports geospatial queries, and ST_WITHIN checks whether a point (defined by latitude and longitude) falls inside a polygon, such as a rectangular bounding box. Adding a WHERE clause for speed > 0 further filters the results, and Cosmos DB can optimize performance by using a composite index on the geospatial field and the speed property. On the DP-900 exam, this tests your understanding of how to combine geospatial functions with standard filtering—a common trap is trying to use ST_DISTANCE or ST_INTERSECTS for a simple bounding box, which would be less efficient. Remember the memory tip: “Within the box, speed non-stop”—ST_WITHIN for the area, then WHERE for the condition.

DP-900 Practice Question: Describe considerations for working with non-relational data on Azure

This DP-900 practice question tests your understanding of describe considerations for working with non-relational data on azure. 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 logistics company tracks shipment locations using GPS devices that send JSON data with fields: shipmentId, latitude, longitude, timestamp, speed. The data is stored in Azure Cosmos DB using the Core (SQL) API. The application needs to query all shipments that are currently within a specific geographic bounding box and have a speed greater than 0. Which query approach should they use to efficiently retrieve the data?

Question 1mediummultiple choice

Full question →

A
Use a BETWEEN clause on latitude and longitude and a WHERE clause for speed.
Why wrong: While syntactically possible, this approach does not leverage Cosmos DB's geospatial index, resulting in poor performance for large datasets.
B
Use ST_WITHIN to specify the bounding box polygon and add a WHERE clause for speed.
ST_WITHIN efficiently uses the geospatial index to find points within the specified area, and combining it with a speed filter is the recommended pattern.
C
Use ST_DISTANCE to measure distance from a center point and also filter on speed.
Why wrong: ST_DISTANCE is for radius-based queries, not for bounding box. It would also be inefficient if the bounding box is not circular.
D
Use the IN operator to list all acceptable coordinate pairs and a speed filter.
Why wrong: The IN operator is for exact matches and cannot be used for range or spatial queries. It would not return the correct results.

Full breakdown with real-world context →

Answer choices

Why each option matters

Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.

Correct answer & explanation

✓

Use ST_WITHIN to specify the bounding box polygon and add a WHERE clause for speed.

Option B is correct because Azure Cosmos DB's Core (SQL) API supports geospatial queries using the ST_WITHIN function, which efficiently checks if a point (latitude/longitude) lies inside a polygon (bounding box). Adding a WHERE clause for speed > 0 further filters the results, and Cosmos DB can leverage a composite index on the geospatial field and speed to optimize query performance.

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.

✗
Use a BETWEEN clause on latitude and longitude and a WHERE clause for speed.
Why it's wrong here
While syntactically possible, this approach does not leverage Cosmos DB's geospatial index, resulting in poor performance for large datasets.
✓
Use ST_WITHIN to specify the bounding box polygon and add a WHERE clause for speed.
Why this is correct
ST_WITHIN efficiently uses the geospatial index to find points within the specified area, and combining it with a speed filter is the recommended pattern.
Related concept
Read the scenario before looking for a memorised answer.
✗
Use ST_DISTANCE to measure distance from a center point and also filter on speed.
Why it's wrong here
ST_DISTANCE is for radius-based queries, not for bounding box. It would also be inefficient if the bounding box is not circular.
✗
Use the IN operator to list all acceptable coordinate pairs and a speed filter.
Why it's wrong here
The IN operator is for exact matches and cannot be used for range or spatial queries. It would not return the correct results.

Common exam traps

Common exam trap: answer the scenario, not the keyword

The trap here is that candidates often assume simple range filters (BETWEEN) are sufficient for geospatial queries, overlooking that Cosmos DB requires dedicated spatial functions (ST_WITHIN, ST_DISTANCE) to utilize its spatial index and achieve efficient bounding box queries.

Detailed technical explanation

How to think about this question

Cosmos DB's spatial indexing uses a geohash-based approach to index GeoJSON points, enabling ST_WITHIN to efficiently prune partitions. The bounding box polygon must be defined as a GeoJSON Polygon with coordinates in [longitude, latitude] order (note the axis order). For optimal performance, a composite index including both the geospatial field and the speed field should be created to avoid a full cross-partition scan.

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 cloud solutions architect for a retail company is evaluating services for a new workload. The correct answer here reflects best practice for the specific scenario described — not a general cloud recommendation. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. Cloud exam questions reward reading the constraint carefully: the same technology can be right or wrong depending on the use case.

What to study next

Got this wrong? Here's your next step.

Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.

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FAQ

Questions learners often ask

What does this DP-900 question test?

Describe considerations for working with non-relational data on Azure — This question tests Describe considerations for working with non-relational data on Azure — Read the scenario before looking for a memorised answer..

What is the correct answer to this question?

The correct answer is: Use ST_WITHIN to specify the bounding box polygon and add a WHERE clause for speed. — Option B is correct because Azure Cosmos DB's Core (SQL) API supports geospatial queries using the ST_WITHIN function, which efficiently checks if a point (latitude/longitude) lies inside a polygon (bounding box). Adding a WHERE clause for speed > 0 further filters the results, and Cosmos DB can leverage a composite index on the geospatial field and speed to optimize query performance.

What should I do if I get this DP-900 question wrong?

Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.

What is the key concept behind this question?

Read the scenario before looking for a memorised answer.

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