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MongoDB C100DBA Exam Syllabus Topics:

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

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MongoDB Certified DBA Associate Exam (Based on MongoDB 4.4) Sample Questions (Q145-Q150):

NEW QUESTION # 145\ What is a limitation of encryption at rest?

  • A. It can impact performance greatly.
  • B. It requires a lot of additional configuration.
  • C. It protects against insecure network connections.
  • [D. It does not protect against data breaches.]{style="COLOR: red"}

Answer: D

Explanation:\ Encryption at rest protects persisted database data on storage media, but it is not a complete defense against every form of data exposure or breach. MongoDB \' s encrypted storage capabilities protect files and storage- level data, yet applications and the database server must still process authorized data in usable form. A compromised application account, stolen database credentials, excessive privileges, or a malicious authorized user can therefore expose data even when the underlying storage is encrypted. Network traffic also requires separate transport protection such as TLS; encryption at rest does not secure data as it travels between clients and servers. Option B incorrectly describes transport encryption rather than an at-rest capability. Option A is too subjective and not an inherent limitation, particularly in managed deployments where storage encryption may be enabled automatically. Option D is similarly overstated; encryption adds cryptographic work, but severe performance impact is not an intrinsic defining limitation. The correct security model is defense in depth: combine at-rest encryption with TLS, strong authentication, least-privilege authorization, auditing, and secure key management. Among the choices, C best captures the limitation that at-rest encryption alone cannot prevent all data breaches.\ Study Guide reference/topic:Security, Networking, and Encryption - encryption at rest, TLS, authorization, and defense in depth.

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NEW QUESTION # 146\ Which of the following operators is used to updated a document partially?

  • A. \$modify
  • B. \$project
  • [C. \$set]{style="COLOR: red"}
  • D. \$update

Answer: C

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NEW QUESTION # 147\ 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 > > ] > )

  • A. { \" .Jd \" :: 1, \" a \" : 0, \" c \" :: 0, \" b \" : 2}
  • B. { \" .Jd \" :6, \" a \" : 1, \" c \" :1, \" b \" :5}
  • C. { \' \' __id \" :3, \" a \" : 4, \" c \" :0, \" b \" :14}
  • [D. { \' \' \Jd \" :9, \" a \" : 17, \" c \" : 1, \" b \" : 1}]{style="COLOR: red"}
  • [E. { \Jd \" :10, \" a \" : 3, \" c \" : 1, \" b \" : 1}]{style="COLOR: red"}
  • F. { \" .Jd \" :: 4, \" a \" : 5, \" c \" :: 0, \" b \" : 17}
  • [G. { \" .Jd \" :: 8, \" a \" : 11, \" c \" : 1, \" b \" : 0}]{style="COLOR: red"}
  • [H. { \" .Jd \" :: 5, \" a \" : 3, \" c \" :: 0, \" b \" : 12}]{style="COLOR: red"}
  • [I. { \" .Jd \" :: 2, \" a \" : 2, \" c \" :: 0, \" b \" : 1}]{style="COLOR: red"}
  • J. { \' \' _Jd \" :7, \" a \" : 8, \" c \" :1, \" b \" :7}

Answer: D,E,G,H,I

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NEW QUESTION # 148\ Which of the following commands will return all the posts with number of likes greater than 100 and less than 200, both inclusive?

  • A. db.posts.find({ likes : { \$gt : 100, \$lt : 200 > > );
  • [B. db.posts.find({ likes : { \$gte : 100 , \$lte : 200 } } );]{style="COLOR: red"}
  • C. db.posts.find({ likes : { \$gt : 100 , \$lte : 200 } } );
  • D. db.posts.find({ likes : { \$gte : 100, \$lt : 200 } } );

Answer: B

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NEW QUESTION # 149\ Consider a collection posts which has fields: Jd, post_text, post_author, post_timestamp, post_tags etc.\ Which of the following query retrieves ONLY the key named post_text from the first document retrieved?

  • A. db.posts.find({},{_id:Of post_text:1})
  • B. db.posts.findOne({post_text: 1})
  • C. db.posts.finOne({},{post_text:1})
  • [D. db.posts.finOne({},{_id:0, post_text:1})]{style="COLOR: red"}

Answer: D

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NEW QUESTION # 150\ ......

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