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MongoDB C100DBA Exam Syllabus Topics:

Section	Objectives
Topic 1: Philosophy and Features	- MongoDB Architecture 1. Collections and Databases 2. Document Model 3. High Availability Concepts 4. Scalability Concepts
Topic 2: Server Administration	- Database Operations 1. Backup and Restore 2. Storage Management 3. Configuration Management 4. Monitoring
Topic 3: Sharding	- Cluster Scaling 1. Chunk Distribution 2. Shard Keys 3. Balancer Operations 4. Query Routing
Topic 4: Replication	- Replica Sets 1. Primary and Secondary Nodes 2. Read Preferences 3. Write Concerns 4. Elections
Topic 5: Indexes	- Index Management 1. Index Selection 2. Single Field Indexes 3. Compound Indexes 4. Query Performance Optimization
Topic 6: Application Administration	- Security and Access Control 1. Authorization 2. Authentication 3. Role-Based Access Control 4. User Management
Topic 7: CRUD Operations	- Data Manipulation 1. Delete Operations 2. Insert Operations 3. Read Queries 4. Update Operations

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MongoDB Certified DBA Associate Exam (Based on MongoDB 4.4) Sample Questions (Q153-Q158):

NEW QUESTION # 153
Which of the following is a valid insert statement in mongodb? Select all valid.

A. db.test.push({x:2,y:"apple"})
B. db.test.insert({x:2,y:"apple"})
C. db.test.insert{"x":2, "y":"apple"})
D. db.test.insert({x:2},{y:"apple"})

Answer: B,C

NEW QUESTION # 154
What does the following query do when performed on the posts collection? db.posts.update({_id:l},{Title:
This is post with ID 1 " })

A. Updates the Title of the post
B. Updating a document is possible only with $set
C. Syntax error
D. Replaces the complete document with _id as 1 with the document specified in second parameter

Answer: D

NEW QUESTION # 155
What mongosh command connects to node-1.cluster1.mycompany.local on port 27017?

A. mongosh " node-1.cluster1.mycompany.local & port=27017 "
B. mongosh " node-1.cluster1.mycompany.local:27017 "
C. mongosh --connect " node-1.cluster1.mycompany.local:27017 "
D. mongosh --hostname " node-1.cluster1.mycompany.local:27017 "

Answer: B

Explanation:
mongosh accepts a MongoDB host address in hostname:port form, so mongosh " node-1.cluster1.mycompany.
local:27017 " is the valid choice among the commands shown. A canonical URI form such as mongosh " mongodb://node-1.cluster1.mycompany.local:27017 " is also valid, and the connection can alternatively be expressed using --host together with --port. Option A uses an unsupported --hostname switch rather than the documented --host option. Option B invents a --connect flag that is not the standard mongosh interface.
Option C constructs an invalid string using an ampersand-style parameter rather than a MongoDB URI or a normal host:port target. Port 27017 is MongoDB ' s default server port, so it could often be omitted if the deployment uses the default, but explicitly including it is valid and removes ambiguity. In authenticated or TLS-enabled environments, the DBA would also supply credentials, authentication database, certificate settings, or a connection string carrying those parameters. For the simple host-and-port requirement in the question, option D is correct.
Study Guide reference/topic:Security, Networking, and Encryption - mongosh connectivity, host/port addressing, and connection options.

NEW QUESTION # 156
Which of the following is true about aggregation framework?

A. the aggregate command operates on a multiple collection
B. Pipeline expressions are stateless except accumulator expressions used with $group operator
C. Each aggregation operator need to return atleast one of more documents as a result
D. A single aggregation framework operator can be used more than once in a query

Answer: B,C,D

NEW QUESTION # 157
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: 3.
B. All three documents.
C. Only document _id: 2.
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 # 158
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