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| Section | Objectives |
|---|---|
| Application Administration | - Security and Access Control
|
| Philosophy and Features | - MongoDB Architecture
|
| Replication | - Replica Sets
|
| Server Administration | - Database Operations
|
| CRUD Operations | - Data Manipulation
|
| Indexes | - Index Management
|
| Sharding | - Cluster Scaling
|
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NEW QUESTION # 122
Suposse tou have the following collection with only 2 documents:
If you run an aggregation query and use { $unwind: "$traits" } as the first stage, how many documents will be passed to the next stage of the aggregation pipeline?
Answer: C
NEW QUESTION # 123
What command returns all documents in an orders collection where quantity is less than or equal to 1000 and salesRep is not equal to " Anne " ?
Answer: C
Explanation:
The quantity condition is "less than or equal to 1000," which maps to MongoDB ' s $lte comparison operator.
The sales representative condition is "not equal to Anne," which maps to $ne. When predicates on two different fields appear in the same query document, MongoDB applies an implicit logical AND, so both conditions must be true for a document to match. Option C therefore expresses exactly the requested filter: { quantity: { $lte: 1000 }, salesRep: { $ne: " Anne " } }. Options A and D use $neq, which is not MongoDB ' s inequality operator. Options B and D use $lt, which excludes documents whose quantity is exactly 1000 and therefore fails the "less than or equal" requirement. One nuance of $ne is that it can also match documents where the field is missing, because a missing field is not equal to the specified value. If the application requires salesRep to exist as well, an explicit existence predicate may be appropriate. For the wording shown, however, option C is the correct command.
Study Guide reference/topic:MongoDB Architecture and Core Operations - comparison predicates, $lte, $ne, and implicit AND semantics.
NEW QUESTION # 124
Which of the following is true about sharding?
Answer: C
NEW QUESTION # 125
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?
Answer: C
Explanation:
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.
NEW QUESTION # 126
Dada una coleccion, cuales devuelve con la siguiente query
db.coleccion.find({nombre:"ruben",apellido:"gomez"},{nombre:l,apellido:l,aficion:l});
Answer: C,D
NEW QUESTION # 127
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