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| Section | Objectives |
|---|---|
| Security | - Encryption at rest and in transit - Authentication and authorization - Role-based access control (RBAC) |
| Replication and High Availability | - Read/write concerns - Replica set architecture - Failover and elections |
| Data Modeling | - Schema design principles - Embedding vs referencing - Relationships in MongoDB |
| Aggregation Framework | - Data transformation and grouping - Aggregation pipeline stages - Aggregation operators |
| Indexing and Performance Tuning | - Explain plans and diagnostics - Index types and usage - Query performance optimization |
| MongoDB CRUD Operations | - Working with documents and BSON types - Insert, update, and delete operations - Querying and filtering documents |
| Backup, Restore, and Operations | - Restore procedures - Monitoring and maintenance - Backup strategies and tools |
| Sharding and Scalability | - Sharded cluster architecture - Shard keys and distribution strategy - Balancing and scaling operations |
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NEW QUESTION # 127
What tool should be used to access and administer a MongoDB cluster?
Answer: A
Explanation:
mongosh, the MongoDB Shell, is the interactive command-line environment used to connect to MongoDB deployments and perform administrative and data operations. Through mongosh, a DBA can run CRUD queries, aggregation pipelines, user and role administration, replica-set commands, server diagnostics, index operations, and many other management tasks. mongod, option B, is the MongoDB database server process itself; it stores data and serves requests but is not the interactive administration client. mongostat, option C, is a monitoring utility that reports a concise stream of server activity metrics such as operation rates, memory, connections, and queue information. mongotop, option D, reports time spent reading and writing data by namespace and is likewise a diagnostic utility rather than a general administration shell. DBAs may also use MongoDB Compass, Atlas interfaces, Ops Manager, or automation tooling depending on the deployment, but among these four command-line tools, mongosh is the one intended for broad interactive access and administration. Therefore option A is correct.
Study Guide reference/topic:MongoDB Architecture and Core Operations - MongoDB Shell, administration tools, server processes, and monitoring utilities.
NEW QUESTION # 128
What is the purpose of elections in a replica set?
Answer: C
Explanation:
Replica-set elections determine which eligible member serves as primary. An election can occur after the current primary becomes unavailable, after certain reconfigurations, during replica-set initialization, or when a primary is deliberately stepped down. Eligible voting members exchange election information and, when a candidate obtains the required support, that candidate transitions to primary and begins accepting writes.
Option A describes asynchronous replication through the oplog, which is a separate mechanism. Option C is unrelated: index creation is an administrative database operation, not a function of elections. Option D is also incorrect because elections do not add members to the replica-set configuration; adding a secondary requires an explicit membership change such as rs.add() or equivalent configuration management. Elections are the foundation of automatic failover and are one reason MongoDB replica sets can provide high availability without a human manually designating a replacement primary after every failure. During an election there can be a brief period in which writes are unavailable, so applications should use retryable behavior and appropriate driver topology handling. The purpose described in option B is therefore correct.
Study Guide reference/topic:Cluster Reliability and Data Resilience - replica-set elections, primary selection, voting, and automatic failover.
NEW QUESTION # 129
What does the following query do when performed on the posts collection? db.posts.update({_id:l},{Title:This is post with ID 1"})
Answer: D
NEW QUESTION # 130
What stage of the Winning Plan in an Explain Result identifies the Index Key for the query pattern?
Answer: C
Explanation:
When MongoDB ' s winning query plan uses a B-tree index, the plan includes an IXSCAN stage. That stage contains the index-specific information a DBA needs to identify how the query is being serviced, including the key pattern, index name, traversal direction, and index bounds. For example, keyPattern can show a compound definition such as { status: 1, createdAt: -1 }, making it straightforward to confirm which indexed keys participate in the chosen plan. A FETCH stage indicates that MongoDB is retrieving full documents, often after an index has produced candidate record identifiers; the fetch stage itself does not identify the index key. A COLLSCAN stage means MongoDB is scanning the collection and therefore is not using a normal index scan for the predicate. GROUP is unrelated to index selection. Effective DBA query analysis usually involves inspecting both queryPlanner.winningPlan and execution statistics such as totalKeysExamined, totalDocsExamined, and nReturned. But for the narrow question of which stage exposes the index key used by the winning plan, IXSCAN is the correct answer. Therefore option C is correct.
Study Guide reference/topic:Indexing and Query Optimization - explain output, winning plans, IXSCAN, key patterns, and index bounds.
NEW QUESTION # 131
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?
Answer: B
NEW QUESTION # 132
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