C100DBA Test Sample Online - Free PDF Quiz MongoDB C100DBA First-grade Authorized Test Dumps

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MongoDB C100DBA Exam Syllabus Topics:

Section	Objectives
Topic 1: Sharding and Scalability	- Balancing and scaling operations - Shard keys and distribution strategy - Sharded cluster architecture
Topic 2: Backup, Restore, and Operations	- Backup strategies and tools - Monitoring and maintenance - Restore procedures
Topic 3: Replication and High Availability	- Read/write concerns - Failover and elections - Replica set architecture
Topic 4: Security	- Role-based access control (RBAC) - Encryption at rest and in transit - Authentication and authorization
Topic 5: Indexing and Performance Tuning	- Query performance optimization - Index types and usage - Explain plans and diagnostics
Topic 6: MongoDB CRUD Operations	- Insert, update, and delete operations - Querying and filtering documents - Working with documents and BSON types
Topic 7: Data Modeling	- Relationships in MongoDB - Schema design principles - Embedding vs referencing
Topic 8: Aggregation Framework	- Aggregation pipeline stages - Data transformation and grouping - Aggregation operators

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Quiz 2026 Newest C100DBA: MongoDB Certified DBA Associate Exam (Based on MongoDB 4.4) Test Sample Online

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MongoDB Certified DBA Associate Exam (Based on MongoDB 4.4) Sample Questions (Q172-Q177):

NEW QUESTION # 172
What is the maximum size of Index Key Limit and Number of Indexes per collection?

A. 64 bytes and 1024 indexes
B. 1024 bytes and unlimited indexes
C. 12 mega bytes and 64 indexes
D. 1024 bytes and 64 indexes

Answer: D

NEW QUESTION # 173
In a sharded replica set environment, the w Option provides ability for write concern and j Option provides ability for the data to be written on disk journal. Consider that we have a seven member replica set and we want to assure that the writes are committed to journal. What should be the value of j?

A. 0
B. 1
C. 2
D. 3

Answer: B

NEW QUESTION # 174
Mongodb does provide high availability via which option?

A. Journaling
B. Replication
C. Indexing
D. Sharding

Answer: B

NEW QUESTION # 175
A MongoDB collection named users contains sample documents with fields including name, age, address, description, city, and occupation.
The administrator uses the following query to perform a collection scan:
db.users.find({ city: " New York " , occupation: " Software Engineer " }) What compound index will improve the performance of the query the MOST?

A. db.users.createIndex({ city: 1, name: 1 })
B. db.users.createIndex({ occupation: 1, name: 1 })
C. db.users.createIndex({ occupation: 1, city: 1 })
D. db.users.createIndex({ city: 1, occupation: 1 })

Answer: C,D

Explanation:
The query contains equality predicates on both city and occupation, so an efficient compound index should contain both fields. Options A and C include only one query predicate plus the unrelated name field, forcing MongoDB to perform additional filtering that the index cannot resolve. Options B and D both contain the complete predicate set. For a query consisting entirely of equality predicates, MongoDB does not require those equality keys to appear in a particular order relative to one another for the query itself; { city: 1, occupation: 1 } and { occupation: 1, city: 1 } can both support the two equality conditions effectively. The original question appears to expect B because it mirrors the field order used in the query, but that distinction is not technically required under MongoDB ' s equality-key guidance. Field order becomes much more significant when the workload also needs a particular index prefix, sort order, range predicate, or when one ordering better supports additional common queries. Accordingly, the technically accurate review result is B and D, with B being the likely intended exam choice.
Study Guide reference/topic:Indexing and Query Optimization - compound indexes, equality predicates, and index key ordering.

NEW QUESTION # 176
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,D

NEW QUESTION # 177
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