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CompTIA DataSys+ Certification Exam Sample Questions (Q59-Q64):
NEW QUESTION # 59
Which of the following is the preferred data structure for storing hierarchical data models?
- A. Tree
- B. Queue
- C. Graph
- D. Stack
Answer: A
Explanation:
A tree data structure is ideal for representing hierarchical data models, as it organizes data in parent-child relationships.
NEW QUESTION # 60
Given the following customer table:
Which of the following ORM snippets would return the ID, state, and country of all customers with the newest customers appearing first?
- A.

- B.

- C.

- D.

Answer: D
Explanation:
The ORM snippet that would return the ID, state, and country of all customers with the newest customers appearing first is option C. This snippet uses the select method to specify the columns to be returned, the order method to sort the results by ID in descending order, and the all method to fetch all the records. The other options either have syntax errors, use incorrect methods, or do not sort the results correctly.
NEW QUESTION # 61
As part of an integrity check, a database administrator is creating both the primary and secondary snapshots. The database administrator notices the primary replica is failing over to the secondary replica. Which of the following describes how this will affect the database?
- A. All the data will have to be copied to a new primary snapshot.
- B. The database will shut down unexpectedly.
- C. The database will not be impacted.
- D. All the information in the database will be lost.
Answer: C
Explanation:
Failover from a primary to a secondary replica in a properly configured environment is designed to be seamless, maintaining database availability and integrity without impacting operations.
NEW QUESTION # 62
A business analyst is using a client table and an invoice table to create a database view that shows clients who have not made purchases yet. Which of the following joins is most appropriate for the analyst to use to create this database view?
- A. LEFT JOIN ON Client.Key = Invoice.Key
- B. RIGHT JOIN ON Client.Key = Invoice.Key WHERE BY Client.Key IS NOLL
- C. LEFT JOIN ON Client.Key = Invoice.Key WHERE BY Invoice.Key IS NOLL
- D. INNER JOIN ON Client.Key = Invoice.Key
Answer: C
Explanation:
The join that is most appropriate for the analyst to use to create this database view is option D. This join uses the LEFT JOIN clause to combine the client table and the invoice table based on the matching values in the Key column. The WHERE clause filters out the rows where the Invoice.Key column is not null, meaning that the client has made a purchase. The result is a view that shows only the clients who have not made any purchases yet. The other options either do not produce the desired result or have syntax errors. For example, option A would show only the clients who have made purchases, option B would show only the invoices that do not have a matching client, and option C would show all the clients regardless of their purchase status. References: CompTIA DataSys+ Course Outline, Domain 1.0 Database Fundamentals, Objective 1.2 Given a scenario, execute database tasks using scripting and programming languages.
NEW QUESTION # 63
Which of the following is used to hide data in a database so the data can only be read by a user who has a key?
- A. Data masking
- B. Data protection
- C. Data encryption
- D. Data security
Answer: C
Explanation:
The option that is used to hide data in a database so the data can only be read by a user who has a key is data encryption. Data encryption is a process that transforms data into an unreadable or scrambled form using an algorithm and a key. Data encryption helps protect data from unauthorized access or modification by third parties, such as hackers, eavesdroppers, or interceptors. Data encryption also helps verify the identity and authenticity of the source and destination of the data using digital signatures or certificates. Data encryption can be applied to data at rest (stored in a database) or data in transit (transmitted over a network). To read encrypted data, a user needs to have the corresponding key to decrypt or restore the data to its original form.
The other options are either different concepts or not related to hiding data at all. For example, data security is a broad term that encompasses various methods and techniques to protect data from threats or risks; data masking is a technique that replaces sensitive data with fictitious but realistic data to protect its confidentiality or compliance; data protection is a term that refers to the legal or ethical obligations to safeguard personal or sensitive data from misuse or harm. References: CompTIA DataSys+ Course Outline, Domain 4.0 Data and Database Security, Objective 4.2 Given a scenario, implement security controls for databases.
NEW QUESTION # 64
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