- A
Replace $lookup with $geoWithin for location-based queries.
Why wrong: $geoWithin is for geospatial, not joins.
- B
Use $geoNear for geospatial queries as it is supported in DocumentDB.
DocumentDB supports $geoNear.
- C
Convert $graphLookup to use recursive queries in DocumentDB.
Why wrong: DocumentDB does not support $graphLookup.
- D
Denormalize the data to avoid $lookup by embedding related documents.
Embedding related data eliminates the need for $lookup.
- E
Rewrite $lookup stages as application-side joins or use references.
DocumentDB does not support $lookup; application-side joins are needed.
Question 999 of 1,730
Handling Unsupported Aggregation Stages During MongoDB to DocumentDB Migration
This DBS-C01 practice question tests your understanding of workload-specific database design. 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 company is migrating an on-premises MongoDB database to Amazon DocumentDB. The current MongoDB workload uses aggregation pipelines with the $lookup stage and geospatial queries. The migration tool reports that some aggregation stages are not supported. Which THREE actions should the company take to address the incompatibilities?
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 $geoNear for geospatial queries as it is supported in DocumentDB.
DocumentDB supports the $geoNear aggregation stage for geospatial queries, making option B a valid action to address incompatibilities. The migration tool flagged unsupported stages, and $geoNear is explicitly supported in DocumentDB for location-based queries, whereas $geoWithin is not available in aggregation pipelines.
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.
- ✗
Replace $lookup with $geoWithin for location-based queries.
Why it's wrong here
$geoWithin is for geospatial, not joins.
- ✓
Use $geoNear for geospatial queries as it is supported in DocumentDB.
Why this is correct
DocumentDB supports $geoNear.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Convert $graphLookup to use recursive queries in DocumentDB.
Why it's wrong here
DocumentDB does not support $graphLookup.
- ✓
Denormalize the data to avoid $lookup by embedding related documents.
Why this is correct
Embedding related data eliminates the need for $lookup.
Related concept
Read the scenario before looking for a memorised answer.
- ✓
Rewrite $lookup stages as application-side joins or use references.
Why this is correct
DocumentDB does not support $lookup; application-side joins are needed.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates may confuse $geoWithin (a query operator) with $geoNear (an aggregation stage), or assume that $graphLookup can be emulated with recursive queries in DocumentDB, which is not supported.
Detailed technical explanation
How to think about this question
DocumentDB implements a subset of the MongoDB aggregation pipeline, omitting stages like $graphLookup and $lookup for cross-collection joins due to architectural differences. For geospatial queries, DocumentDB supports $geoNear in aggregation pipelines, which requires a 2dsphere index and returns documents sorted by distance, but it must be the first stage. Denormalization (option D) and application-side joins (option E) are common workarounds for unsupported $lookup stages, as DocumentDB lacks native join capabilities.
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.
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FAQ
Questions learners often ask
What does this DBS-C01 question test?
Workload-Specific Database Design — This question tests Workload-Specific Database Design — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Use $geoNear for geospatial queries as it is supported in DocumentDB. — DocumentDB supports the $geoNear aggregation stage for geospatial queries, making option B a valid action to address incompatibilities. The migration tool flagged unsupported stages, and $geoNear is explicitly supported in DocumentDB for location-based queries, whereas $geoWithin is not available in aggregation pipelines.
What should I do if I get this DBS-C01 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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Last reviewed: Jul 4, 2026
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