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| Section | Objectives |
|---|---|
| Topic 1: Indexing and Performance Tuning | - Query performance optimization - Explain plans and diagnostics - Index types and usage |
| Topic 2: MongoDB CRUD Operations | - Querying and filtering documents - Insert, update, and delete operations - Working with documents and BSON types |
| Topic 3: Sharding and Scalability | - Balancing and scaling operations - Sharded cluster architecture - Shard keys and distribution strategy |
| Topic 4: Security | - Encryption at rest and in transit - Role-based access control (RBAC) - Authentication and authorization |
| Topic 5: Data Modeling | - Embedding vs referencing - Schema design principles - Relationships in MongoDB |
| Topic 6: Aggregation Framework | - Aggregation operators - Aggregation pipeline stages - Data transformation and grouping |
| Topic 7: Backup, Restore, and Operations | - Restore procedures - Backup strategies and tools - Monitoring and maintenance |
| Topic 8: Replication and High Availability | - Replica set architecture - Read/write concerns - Failover and elections |
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NEW QUESTION # 139
Write the command(s) are correct to enable sharding on a database "testdb" and shard a collection "testCollection" with _id as shard key.
Answer:
Explanation:
sh.enableSharding("testdb") & sh.shardCollection("testdb.testCollection", {_id : 1 }, true )
NEW QUESTION # 140
Which of the following statements are true about the $match pipeline operator? Check all that apply.
Answer: A,B,C
NEW QUESTION # 141
What operation updates the value of the unitsInStock field to 25 for a document with a " laptop " product, and inserts a new document if it does not exist?
Answer: B
Explanation:
An upsert combines update behavior with conditional insertion. updateOne() first searches for a document matching { product: " laptop " }. If one exists, $set changes unitsInStock to 25. If none exists and the options document contains { upsert: true }, MongoDB inserts a new document based on the equality portions of the filter together with the update result. Option A uses exactly this pattern. Options B and C incorrectly use insertOne(), which inserts a supplied document and does not accept an update-operator document plus upsert semantics in this form. Option D uses the correct method and update structure but specifies True with a capital T. Mongosh uses JavaScript Boolean syntax, so the literal must be lowercase true. Upserts are useful when an application needs to ensure that a logical entity exists after an operation, but DBAs should consider a unique index on the identifying field when duplicate creation by concurrent requests must be prevented.
Given the choices, updateOne(..., {$set:...}, {upsert:true}) is the valid operation, so A is correct.
Study Guide reference/topic:MongoDB Architecture and Core Operations - updateOne(), $set, upserts, and Boolean syntax.
NEW QUESTION # 142
Which are the ONLY ways to project portions of an array?
Answer: C
NEW QUESTION # 143
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?
Answer: B,C
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 # 144
......
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