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MongoDB C100DBA Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: MongoDB Architecture and Deployment	20%	- Core concepts, JSON/BSON, data model - Installation and configuration - Storage engines and server management
Topic 2: Monitoring, Performance and Troubleshooting	10%	- Diagnostics and resolving common issues - Monitoring tools and metrics - Performance tuning and optimization
Topic 3: Sharding and Scalability	10%	- Shard keys, chunk management, balancing - Sharded cluster architecture - Query routing and cluster operations
Topic 4: CRUD Operations and Indexing	20%	- Query optimization and aggregation - Index types, creation, and management - Create, Read, Update, Delete operations
Topic 5: Security and Access Control	15%	- Authentication mechanisms - Encryption, auditing, and security best practices - Role-based access control
Topic 6: Replication and High Availability	15%	- Failover, elections, read/write concern - Replica set architecture and components - Deployment and maintenance of replica sets
Topic 7: Backup, Recovery and Maintenance	10%	- Data consistency and integrity checks - Logical and physical backup methods - Restore procedures and disaster recovery

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MongoDB Certified DBA Associate Exam (Based on MongoDB 4.4) Sample Questions (Q106-Q111):

NEW QUESTION # 106
Consider a clothing collection that contains these documents:
{ " _id " : 1, " item " : " sweater " , " sizes " : [ " XS " , " S " ] }
{ " _id " : 2, " item " : " t-shirt " , " sizes " : [ " S " , " M " , " XL " ] }
{ " _id " : 3, " item " : " vest " , " sizes " : [ " M " , " L " , " XL " , " XXL " ] } What does the following query return?
db.clothing.find({ " sizes " : " M " })

A. Only document _id: 2.
B. All three documents.
C. Only document _id: 3.
D. Documents _id: 2 and _id: 3.

Answer: D

Explanation:
MongoDB supports direct equality matching against elements contained in an array. When the predicate is { sizes: " M " } and sizes is an array field, a document matches when at least one element of the array equals the scalar value " M " . Document 1 contains only " XS " and " S " , so it does not match. Document 2 contains " M " in [ ' S ' , ' M ' , ' XL ' ], and document 3 contains " M " in [ ' M ' , ' L ' , ' XL ' , ' XXL ' ]; both therefore match. No $elemMatch expression is required for this simple scalar membership test. $elemMatch becomes important when multiple conditions must be satisfied by the same array element, particularly for arrays of embedded documents or compound conditions. This array equality behavior is a core part of MongoDB ' s document query model and allows concise filtering of array-valued fields. The correct result is consequently the t-shirt and vest documents, which corresponds to option D. This same matching behavior applies consistently whenever a scalar predicate targets values stored inside a BSON array field.
Study Guide reference/topic:MongoDB Architecture and Core Operations - querying array fields and equality predicates.

NEW QUESTION # 107
By default, the MongoDB cursor in mongo shell is configured to return how many documents? To get the next set of documents, which command is used?

A. 200, more
B. No limit, none
C. 50, it
D. 20, it

Answer: D

NEW QUESTION # 108
Which of the following commands finds all the documents in the posts collection with post timestamp field as null?

A. db.posts.find( { post_timestamp: { $fieldtype: 10 } } )
B. db.posts.find( { post_timestamp : { $type; 10 > > )
C. db.posts.find( { post_timestamp: { $fieldtype: null } } )
D. db.posts.find( { post_timestamp: { $type: null } } )

Answer: D

NEW QUESTION # 109
What tool do you use to see if you have a problem in the consumption of disk I / 0?

Answer:

Explanation:
Mongoperf

NEW QUESTION # 110
Which of the following does MongoDB use to provide High Scalability?

A. Replication
B. Sharding
C. Write Concern
D. Indexing

Answer: B

NEW QUESTION # 111
......

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