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MongoDB C100DBA exam is an industry-recognized certification exam that evaluates an individual's proficiency in managing and administering MongoDB databases. MongoDB is a popular NoSQL database that is widely used for its flexibility, scalability, and performance. The C100DBA Exam is designed to test the skills required to install, configure, and maintain MongoDB databases, as well as troubleshoot performance issues and ensure data availability and security.
There are different ways to achieve the same purpose, and it's determined by what way you choose. A lot of people want to pass MongoDB certification C100DBA exam to let their job and life improve, but people participated in the MongoDB Certification C100DBA Exam all knew that MongoDB certification C100DBA exam is not very simple. In order to pass MongoDB certification C100DBA exam some people spend a lot of valuable time and effort to prepare, but did not succeed.
MongoDB C100DBA Certification Exam is designed for database administrators who have experience in managing MongoDB databases. C100DBA exam is a proctored, closed-book, and time-limited exam that consists of 60 multiple-choice questions. Candidates have 90 minutes to complete the exam and must score a minimum of 75% to pass.
NEW QUESTION # 27
The Production MongoDB Cluster contains Personally Identifiable Information, such as Name, Demographics, Date of Birth, and Government Identification Number. Due to strict compliance requirements, a database administrator is tasked to ensure a client ' s side encryption.
What feature should the administrator use to meet the requirement?
Answer: B
Explanation:
Queryable Encryption is designed for client-side protection of sensitive fields while preserving supported query capabilities over encrypted values. With this model, appropriately configured client drivers encrypt selected fields before data is transmitted to the MongoDB server and decrypt authorized results on the client side. That architecture is well suited to highly sensitive PII such as government identification numbers, dates of birth, or regulated demographic information because the database server stores encrypted field values rather than plaintext for those protected fields. The Encrypted Storage Engine, option A, protects database files at rest but the server can still process decrypted data internally. TLS/SSL, option B, protects data while it is moving across the network, not the application field values from the database server itself. Role-Based Access Control, option C, restricts which authenticated principals can perform actions but does not itself cryptographically protect the field contents. Queryable Encryption complements, rather than replaces, TLS, authentication, authorization, auditing, and storage encryption. For the specific requirement of client-side encryption of sensitive application data, option D is the correct MongoDB feature.
Study Guide reference/topic:Security, Networking, and Encryption - Queryable Encryption, client-side encryption, sensitive fields, and key management.
NEW QUESTION # 28
In a sharded replicas set environment with multiple mongos servers, which of the following would decide the mongos failover?
Answer: B
NEW QUESTION # 29
If you have created a compound index on (A,B, C) which of the following access pattern will not be able to utilize the index?
Answer: D
NEW QUESTION # 30
Which of the documents below will be retrieved by the following query? Assume the documents are stored in a collection called "sample". Check all that apply.
db.sample.find( { "$or" : [ { "a" : { "$in" : [ 3, 10] > }, { "b" : { "$lt" : 2 > > ] > )
Answer: A,D,E,H,I
NEW QUESTION # 31
What command lists all indexes for a collection?
Answer: D
Explanation:
db.collection.getIndexes() is the mongosh method used to return the definitions of all indexes that currently exist on a collection. The result is an array of index specification documents that can show fields such as the index name, key pattern, index version, uniqueness, partial-filter settings, sparse configuration, collation, and whether the index is hidden. This makes the method useful for index audits, troubleshooting, and confirming the physical indexes available to the query planner. Option A is not a documented method for enumerating collection indexes. Option B resembles the $indexStats aggregation stage, which reports usage statistics for indexes, but db.collection.indexStats() is not the method used to list full index definitions. Option C, findIndexes(), is also not the documented mongosh collection helper. Administrators should distinguish between listing index definitions, examining index usage, and inspecting an individual query ' s winning plan:
getIndexes() addresses the first requirement, $indexStats addresses usage metrics, and explain() addresses query-planner behavior. Therefore option D is the correct command for listing all indexes on the collection.
Study Guide reference/topic:Indexing and Query Optimization - index administration, index metadata, and db.
collection.getIndexes().
NEW QUESTION # 32
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