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To prepare for the MongoDB C100DBA certification exam, candidates need to have a good understanding of MongoDB 4.4, including its features, components, and architecture. They also need to be familiar with database administration tasks, such as backup and recovery, performance tuning, and security management. MongoDB offers several resources to help candidates prepare for the exam, including online courses, study guides, and practice exams. By passing the MongoDB C100DBA Certification Exam, candidates can demonstrate their proficiency in MongoDB database administration and enhance their credibility as database professionals.

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MongoDB Certified DBA Associate Exam (Based on MongoDB 4.4) Sample Questions (Q32-Q37):

NEW QUESTION # 32
The________operator can be used to identify an element in the array to be updated without explicitly specifying the position of the element.

A. $slice
B. $
C. Updating an array field without knowing its index is not possible.
D. $ elemMatch

Answer: B

NEW QUESTION # 33
Which of the following is incorrect statement about find and findOne operations in MongoDB?

A. findOneQ returns the actual first document retrieved from a collection
B. findQ returns all the documents in a collection while findOne() retrieves only the first one.
C. find.limit(l) is not the same query as findOne()
D. findQ and findOneQ returns cursors to the collection documents

Answer: D

NEW QUESTION # 34
Which of the following commands can cause the database to be locked?

A. Map-reduce
B. Inserting data
C. All of the above
D. Issuing a query

Answer: C

NEW QUESTION # 35
Which are the ONLY ways to project portions of an array?

A. $slice
B. All of the above
C. $
D. $ elemMatch

Answer: B

NEW QUESTION # 36
A MongoDB database administrator needs to improve the performance of the following query:
db.employees.find(
{},
{ name: 1, department: 0, salary: 1 }
).sort({ department: 1, salary: -1 });
What index should the administrator use to achieve this goal?

A. db.employees.createIndex({ salary: 1, name: 1, department: 0 });
B. db.employees.createIndex({ department: 1, salary: -1 });
C. db.employees.createIndex({ department: 1, salary: 1, name: 1 });
D. db.employees.createIndex({ name: 1, department: 1, salary: -1 });

Answer: B

Explanation:
For a compound index to satisfy a multi-field sort, the indexed fields must occur in the same sequence as the sort specification, and their directions must either match the requested pattern or be the complete reverse of it.
The query sorts by { department: 1, salary: -1 }, so option B exactly matches both the key order and the requested directions. MongoDB can scan that index and return the results already ordered, avoiding a blocking in-memory sort. Option A uses { department: 1, salary: 1 }, which does not match the mixed- direction sort and is not its full inverse. Option D puts name before the two sort keys. Because the query has no equality predicate on name, that leading key prevents the later fields from directly providing the requested global sort. Option C is not a sensible index definition for this workload. Separately, the displayed projection mixes inclusion and exclusion (name:1, salary:1, department:0), which MongoDB normally disallows except for _id; that syntax issue should be corrected independently. It does not change the intended index answer for the sort, which is B.
Study Guide reference/topic:Indexing and Query Optimization - compound indexes, sort support, index prefixes, and key direction.

NEW QUESTION # 37
......

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