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| Section | Weight | Objectives |
|---|---|---|
| CRUD Operations and Indexing | 20% | - Index types, creation, and management - Create, Read, Update, Delete operations - Query optimization and aggregation |
| MongoDB Architecture and Deployment | 20% | - Core concepts, JSON/BSON, data model - Installation and configuration - Storage engines and server management |
| Monitoring, Performance and Troubleshooting | 10% | - Performance tuning and optimization - Monitoring tools and metrics - Diagnostics and resolving common issues |
| Replication and High Availability | 15% | - Deployment and maintenance of replica sets - Failover, elections, read/write concern - Replica set architecture and components |
| Backup, Recovery and Maintenance | 10% | - Restore procedures and disaster recovery - Data consistency and integrity checks - Logical and physical backup methods |
| Sharding and Scalability | 10% | - Sharded cluster architecture - Shard keys, chunk management, balancing - Query routing and cluster operations |
| Security and Access Control | 15% | - Authentication mechanisms - Role-based access control - Encryption, auditing, and security best practices |
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NEW QUESTION # 129
Below is a sample document of "orders" collection
Answer:
Explanation:
$project
NEW QUESTION # 130
What command is used to grant a role " customRole1 " to an existing user called " user1 " ?
Answer: D
Explanation:
MongoDB provides db.grantRolesToUser() specifically for assigning one or more additional roles to an existing user. The method takes the username as its first argument and an array of roles as its second argument, so db.grantRolesToUser( " user1 " , [ " customRole1 " ]) is the correct choice. A role can be supplied as a simple string when it belongs to the current database or as an explicit document such as { role: " customRole1 " , db: " admin " } when the database context must be specified. Option B uses db.createUser(), which is used to create a new user rather than modify the role membership of an account that already exists.
Options A and C use method names that are not the documented mongosh interfaces for this operation.
Administrators should also distinguish grantRolesToUser() from grantRolesToRole(): the latter makes a user- defined role inherit other roles, whereas the former directly changes a user ' s assigned roles. Least-privilege practice requires granting only roles necessary for the user ' s responsibilities. For the requested update to the existing user, option D is correct.
Study Guide reference/topic:Security, Networking, and Encryption - user administration, role assignment, RBAC, and grantRolesToUser().
NEW QUESTION # 131
Given the following MongoDB documents in the cars collection:
{
" carid " : 1,
" make " : " Toyota " ,
" model " : " Celica " ,
" mileage " : 143121,
" color " : " Red " ,
" year " : 2003,
" features " : [ " Leather Interior " , " 2WD " , " CD Player " ]
},
{
" carid " : 2,
" make " : " Honda " ,
" model " : " Civic " ,
" mileage " : 12000,
" color " : " White " ,
" year " : 2020,
" features " : [ " Cloth Interior " , " Sun Roof " , " XM Radio " ]
},
{
" carid " : 3,
" make " : " Tesla " ,
" model " : " Model S " ,
" mileage " : 5,
" color " : " Silver " ,
" year " : 2022,
" features " : [ " Leather Interior " , " Sun Roof " , " Auto Pilot " ]
}
What documents are returned from running the following $in query?
db.cars.find({ " features " : { $in: [ " Leather Interior " , " 2WD " , " Auto Pilot " ]}})
Answer: D
Explanation:
The $in query predicate matches a document when the queried field equals any value listed in the $in array.
When the target field is itself an array, MongoDB compares the array elements against the values supplied to
$in; one matching element is sufficient. Car 1 qualifies because its features array contains both " Leather Interior " and " 2WD " . Car 3 also qualifies because its array contains " Leather Interior " and " Auto Pilot " .
Car 2 contains " Cloth Interior " , " Sun Roof " , and " XM Radio " , none of which are in the predicate array, so it is excluded. A common mistake is to read $in as requiring all values to be present. It does not: the semantics are an OR-style membership test. If the requirement were to ensure that several specified values were all present in an array, a different construct such as $all would be appropriate. Therefore, the result consists of the Toyota Celica and Tesla Model S documents only, making option A correct.
Study Guide reference/topic:MongoDB Architecture and Core Operations - querying documents, arrays, and the $in predicate.
NEW QUESTION # 132
Which features of relational database management systems were deliberately omitted in MongoDB and help us to obtain horizontal scalability? Check all that apply.
Answer: A,B
NEW QUESTION # 133
What encoded format does MongoDB store documents in?
Answer: C
Explanation:
MongoDB stores records as BSON documents. BSON, short for Binary JSON, is a binary serialization format that preserves the JSON-like document model while supporting a richer set of data types required by database applications. Mongosh commonly displays documents using JavaScript or Extended JSON-like notation, which is why JSON is a tempting distractor, but the native stored representation is BSON. BSON supports types such as ObjectId, dates, binary data, timestamps, Decimal128, 32-bit and 64-bit integers, arrays, embedded documents, and other values that standard JSON does not represent natively. Base64 is an encoding technique often used to render binary data as text and is not MongoDB ' s document storage format.
XML is also unrelated to MongoDB ' s native representation. Understanding BSON is fundamental for database administrators because document-size limits, type comparisons, index keys, serialization behavior, and driver interoperability all depend on BSON semantics. The flexible document model allows fields to contain scalar values, nested documents, and arrays within the same record structure. Therefore the encoded format used by MongoDB to store documents is BSON, making option C correct.
Study Guide reference/topic:MongoDB Architecture and Core Operations - BSON, document structure, data types, and JSON/BSON distinctions.
NEW QUESTION # 134
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