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| Section | Objectives |
|---|---|
| Topic 1: MongoDB CRUD Operations | - Querying and filtering documents - Working with documents and BSON types - Insert, update, and delete operations |
| Topic 2: Indexing and Performance Tuning | - Explain plans and diagnostics - Index types and usage - Query performance optimization |
| Topic 3: Replication and High Availability | - Replica set architecture - Failover and elections - Read/write concerns |
| Topic 4: Backup, Restore, and Operations | - Restore procedures - Backup strategies and tools - Monitoring and maintenance |
| Topic 5: Aggregation Framework | - Data transformation and grouping - Aggregation pipeline stages - Aggregation operators |
| Topic 6: Sharding and Scalability | - Sharded cluster architecture - Shard keys and distribution strategy - Balancing and scaling operations |
| Topic 7: Data Modeling | - Embedding vs referencing - Schema design principles - Relationships in MongoDB |
| Topic 8: Security | - Role-based access control (RBAC) - Encryption at rest and in transit - Authentication and authorization |
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140. Frage
Given the following query:
db.load.find({
_id: { $lte: 1000 },
rnd: 1234,
date: { $gte: ISODate( " 2023-01-01 " ) }
}).sort({ date: -1 })
In a compound index that best supports this query, what field should be first field?
Antwort: D
Begründung:
The rnd field should lead the compound index because it is the query ' s equality predicate. MongoDB ' s common compound-index design rule is Equality, Sort, Range (ESR): fields tested for exact equality are typically placed first, followed by fields used for sorting and then range predicates, subject to workload- specific selectivity considerations. Here, rnd: 1234 is an equality condition. _id: { $lte: 1000 } is a range condition, and date: { $gte: ... } is also a range condition while the query additionally sorts on date. Leading with rnd sharply narrows the index region that must be scanned before MongoDB handles the sort/range dimensions. Starting with _id or date would place a range-oriented key ahead of the exact-match predicate and generally reduce the efficiency of index bounds for this query shape. The complete optimal key pattern may depend on whether avoiding the sort or maximizing range selectivity matters most, but the question asks only for the first field. Under ESR guidance, that first field is rnd, so option B is correct.
Study Guide reference/topic:Indexing and Query Optimization - compound indexes, selectivity, and the Equality-Sort-Range guideline.
141. Frage
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?
Antwort: D
Begründung:
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.
142. Frage
What is the use of mongodump and mongorestore tools?
Antwort: A
143. Frage
Which of the following command is used to get all the indexes on a collection?
Antwort: B
144. Frage
What command adds a document to the class101 collection where the student is " Randall " and the student passed the class?
Antwort: A
Begründung:
db.collection.insertOne() inserts one BSON document into a collection. In mongosh, string values must be quoted and Boolean literals use JavaScript syntax: lowercase true or false. Therefore the student ' s name must appear as " Randall " , and the passed flag must be true. Option D is the only choice that gets both value types correct. Option A quotes the string properly but uses True, which is not the JavaScript Boolean literal.
Options B and C leave Randall unquoted, so mongosh would interpret it as an identifier or variable rather than as the literal string required by the document. Option C additionally uses the invalid capitalized Boolean form.
If an _id field is omitted, MongoDB automatically adds a unique _id, typically an ObjectId, before storing the document. That behavior does not affect the two requested fields. This question tests both CRUD syntax and the BSON/JavaScript literal representation used by mongosh. The correct command is db.class101.insertOne ({ student: " Randall " , passed: true }), so option D is correct.
Study Guide reference/topic:MongoDB Architecture and Core Operations - insertOne(), BSON values, strings, Booleans, and automatic _id.
145. Frage
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