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MongoDB C100DBA Exam Syllabus Topics:

SectionWeightObjectives
MongoDB Architecture and Deployment20%- Storage engines and server management
- Installation and configuration
- Core concepts, JSON/BSON, data model
Replication and High Availability15%- Deployment and maintenance of replica sets
- Failover, elections, read/write concern
- Replica set architecture and components
Sharding and Scalability10%- Sharded cluster architecture
- Shard keys, chunk management, balancing
- Query routing and cluster operations
Monitoring, Performance and Troubleshooting10%- Monitoring tools and metrics
- Diagnostics and resolving common issues
- Performance tuning and optimization
Security and Access Control15%- Authentication mechanisms
- Role-based access control
- Encryption, auditing, and security best practices
CRUD Operations and Indexing20%- Index types, creation, and management
- Query optimization and aggregation
- Create, Read, Update, Delete operations
Backup, Recovery and Maintenance10%- Logical and physical backup methods
- Data consistency and integrity checks
- Restore procedures and disaster recovery

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MongoDB Certified DBA Associate Exam (Based on MongoDB 4.4) Sample Questions (Q137-Q142):

NEW QUESTION # 137
In which of the following scenarios is sharding not the correct option. Select all that apply.

Answer: C,D


NEW QUESTION # 138
You have designed a web application with mongoDB. You have configured replication. The replica set is in place and function properly. What happens in case of failure?

Answer: B


NEW QUESTION # 139
Which command is used to determine storage capacity of specific database?

Answer: D


NEW QUESTION # 140
We can insert multiple documents in bulk using which of the following operations:

Answer: A


NEW QUESTION # 141
What stage of the Winning Plan in an Explain Result identifies the Index Key for the query pattern?

Answer: D

Explanation:
When MongoDB ' s winning query plan uses a B-tree index, the plan includes an IXSCAN stage. That stage contains the index-specific information a DBA needs to identify how the query is being serviced, including the key pattern, index name, traversal direction, and index bounds. For example, keyPattern can show a compound definition such as { status: 1, createdAt: -1 }, making it straightforward to confirm which indexed keys participate in the chosen plan. A FETCH stage indicates that MongoDB is retrieving full documents, often after an index has produced candidate record identifiers; the fetch stage itself does not identify the index key. A COLLSCAN stage means MongoDB is scanning the collection and therefore is not using a normal index scan for the predicate. GROUP is unrelated to index selection. Effective DBA query analysis usually involves inspecting both queryPlanner.winningPlan and execution statistics such as totalKeysExamined, totalDocsExamined, and nReturned. But for the narrow question of which stage exposes the index key used by the winning plan, IXSCAN is the correct answer. Therefore option C is correct.
Study Guide reference/topic:Indexing and Query Optimization - explain output, winning plans, IXSCAN, key patterns, and index bounds.


NEW QUESTION # 142
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