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To become a MongoDB Certified DBA Associate, candidates must pass the C100DBA Exam. C100DBA exam consists of 60 multiple-choice questions, and candidates have 90 minutes to complete it. C100DBA exam fee is $150, and it can be taken online or in-person at a Pearson VUE testing center. Upon passing the exam, candidates will receive a digital certificate and a badge that can be displayed on their professional profiles, demonstrating their expertise in MongoDB database administration. MongoDB Certified DBA Associate Exam (Based on MongoDB 4.4) certification is recognized by organizations worldwide as a mark of excellence in MongoDB database administration.
NEW QUESTION # 77
Which of the following is true about aggregation framework?
Answer: A,B,D
NEW QUESTION # 78
What " stage " indicates that no indexes were available for a query pattern?
Answer: C
Explanation:
In MongoDB explain output, a COLLSCAN stage means the winning plan is scanning documents in the collection rather than traversing a suitable index. This is the clearest indicator that the query is not being serviced by a normal index scan for the relevant predicate. By contrast, IXSCAN explicitly indicates an index scan and typically includes details such as the index key pattern, direction, and bounds. A FETCH stage represents retrieval of full documents, often after an index has already identified candidate record locations; its presence does not imply that no index was used. GROUP relates to grouping behavior and is not the stage used to identify missing index support. A collection scan is not automatically wrong: for tiny collections or queries that return most documents, it can be efficient. However, on large collections with selective predicates, repeated COLLSCAN plans are a strong signal that the DBA should evaluate indexing.
Administrators should compare totalDocsExamined, totalKeysExamined, execution time, and the winning
/rejected plans before deciding to add an index. For the terminology tested by the question, COLLSCAN is the correct stage, so C is correct.
Study Guide reference/topic:Indexing and Query Optimization - explain plans, COLLSCAN, IXSCAN, and missing index diagnostics.
NEW QUESTION # 79
Addding the index {a:l} can potentially decrease the speed of which of the following operations? Check all that apply.
Answer: A,C
NEW QUESTION # 80
Which option should be used to update all the documents with the specified condition in the MongoDB query?
Answer: B
NEW QUESTION # 81
What are TWO functions of sharding?
Answer: B,D
Explanation:
Sharding is MongoDB ' s horizontal-scaling mechanism: it partitions a collection ' s data across multiple shards so a deployment can scale storage capacity and distribute query or write workload beyond the limits of one server. That directly supports deployments with very large datasets and high-throughput operations, making C correct. MongoDB also supports zone sharding, which associates ranges of shard-key values with selected shards. Zones can be used to keep particular data near a geographical region, satisfy locality requirements, or map data ranges to hardware tiers, so A is also correct. Option B overstates what sharding itself provides; cross-region consistency behavior depends on replication topology, read/write concerns, latency, and application design rather than simply enabling sharding. Option D describes a deployment that already fits comfortably in memory and meets performance goals, so sharding may add unnecessary operational complexity. Option E primarily describes replication: replica sets maintain redundant copies, provide elections, and improve availability. Production shards are themselves normally replica sets, but redundancy is a replication function rather than the defining purpose of sharding. Therefore the two functions represented here are geographic zone distribution and horizontal scale: A and C.
Study Guide reference/topic:Sharding Strategies and Scalable Deployments - horizontal scaling, large datasets, throughput, shard keys, and zone sharding.
NEW QUESTION # 82
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