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The topics covered in the C100DBA exam include database architecture, data modeling, scalability, availability, security, backup and recovery, performance tuning, and monitoring. C100DBA exam also tests the ability of candidates to use MongoDB tools such as the mongo shell, MongoDB Compass, and MongoDB Atlas.
MongoDB C100DBA is a certification exam for MongoDB Certified DBA Associate. C100DBA Exam is based on MongoDB 4.4, which is the latest version of MongoDB. C100DBA exam is designed to test the candidate's knowledge and skills in administering MongoDB deployments. C100DBA exam covers various topics such as MongoDB architecture, installation, configuration, security, backup and recovery, and performance optimization.
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NEW QUESTION # 30
What mongosh command connects to node-1.cluster1.mycompany.local on port 27017?
Answer: B
Explanation:
mongosh accepts a MongoDB host address in hostname:port form, so mongosh " node-1.cluster1.mycompany.
local:27017 " is the valid choice among the commands shown. A canonical URI form such as mongosh " mongodb://node-1.cluster1.mycompany.local:27017 " is also valid, and the connection can alternatively be expressed using --host together with --port. Option A uses an unsupported --hostname switch rather than the documented --host option. Option B invents a --connect flag that is not the standard mongosh interface.
Option C constructs an invalid string using an ampersand-style parameter rather than a MongoDB URI or a normal host:port target. Port 27017 is MongoDB ' s default server port, so it could often be omitted if the deployment uses the default, but explicitly including it is valid and removes ambiguity. In authenticated or TLS-enabled environments, the DBA would also supply credentials, authentication database, certificate settings, or a connection string carrying those parameters. For the simple host-and-port requirement in the question, option D is correct.
Study Guide reference/topic:Security, Networking, and Encryption - mongosh connectivity, host/port addressing, and connection options.
NEW QUESTION # 31
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: B
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 # 32
What is the maximum size of Index Key Limit and Number of Indexes per collection?
Answer: D
NEW QUESTION # 33
To add a new user and enable authentication in MongoDB, which of the following steps need be executed?
Answer: A
NEW QUESTION # 34
Consider the following document from the products collection:
What does the following query using $elemMatch return? db.products.find( { product_code: " 345678 " }, { variations: { $elemMatch: { size:
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