The concept that applies to situations that require court files to be scanned for permanent reference and original documents be stored for ten years before they can be discarded is data retention policies. Data retention policies are rules or guidelines that specify how long data should be kept and when it should be deleted or archived. Data retention policies are often based on legal, regulatory, or business requirements, and help organizations manage their data lifecycle, storage, and compliance. The other options are either not related or not specific to this situation. For example, data loss prevention is a process that aims to prevent data from being leaked, stolen, or corrupted; data classification is a process that assigns labels or categories to data based on its sensitivity, value, or risk; global regulations are laws or standards that apply to data across different countries or regions. References: CompTIA DataSys+ Course Outline, Domain 4.0 Data and Database Security, Objective 4.1 Given a scenario, apply security principles and best practices for databases.

The correct answer is A. Creating views to support repeat queries. CompTIA DataSys+ emphasizes that views are an effective way to improve performance, usability, and consistency when users frequently run complex queries against live production tables. A view is a virtual table based on a predefined SQL query that presents data in a simplified and reusable format without physically storing the data.
When analysts run complex queries directly against live tables, it can increase CPU usage, I/O operations, and locking contention, potentially impacting other users and critical workloads. By creating views, the database administrator can encapsulate complex joins, filters, and aggregations into a single logical object. Analysts can then query the view instead of repeatedly executing expensive SQL statements. This reduces query complexity, improves readability, and can lead to more predictable performance. DataSys+ highlights views as a best practice for supporting reporting and analytical workloads while minimizing disruption to transactional systems.
Option B, removing data redundancy, is related to normalization and data integrity, not query performance optimization for analysts. Option C, modifying the data in the table, risks data integrity issues and does not address performance concerns. Option D, deleting records from the table, may reduce table size but is not an appropriate or safe method for improving user query performance and can result in data loss.
CompTIA DataSys+ also notes that views can enhance security by limiting analysts' access to only the required columns or rows, further protecting live data. In some implementations, indexed or materialized views can offer additional performance benefits for repeated queries.
Therefore, the best solution to improve analyst performance when running complex, repeat queries on live tables is creating views to support repeat queries, making option A the correct and fully verified answer.

The option that best describes a collection of data that shares the same properties or attributes is entity set. An entity set is a term used in the entity-relationship (ER) model, which is a conceptual model for designing and representing databases. An entity set is a collection of entities that have the same type or characteristics, such as students, courses, products, etc. An entity is an object or thing that can be identified and distinguished from others, such as a specific student, course, product, etc. An entity set can have one or more attributes that describe the properties or features of the entities, such as name, age, price, etc. An entity set can also have one or more relationships with other entity sets that define how the entities are associated or connected, such as enrolled, taught by, purchased by, etc. The other options are either different terms or not related to the ER model at all. For example, relation set is a term used in the relational model, which is a logical model for implementing and manipulating databases; ER model is a term used to refer to the entity-relationship model itself; tuples are rows or records in a table or relation. References: CompTIA DataSys+ Course Outline, Domain 1.0 Database Fundamentals, Objective 1.1 Given a scenario, identify common database types.

The command that the database administrator should use for this task is SELECT. The SELECT command is a SQL statement that retrieves data from one or more tables or views in a database. The SELECT command can also use various clauses or options to filter, group, sort, or aggregate data according to specific criteria or conditions. By using the SELECT command, the database administrator can obtain information about the performance of users in the sales department, such as their sales volume, revenue, commission, etc. The other options are either not related or not suitable for this task. For example, DROP is a SQL command that deletes an existing table or object from a database; UPDATE is a SQL command that modifies existing data in one or more rows of a table; DELETE is a SQL command that removes existing data from one or more rows of a table. References: CompTIA DataSys+ Course Outline, Domain 1.0 Database Fundamentals, Objective 1.2 Given a scenario, execute database tasks using scripting and programming languages.

The SQL command that the administrator should use to ensure that records from the two tables are not duplicated is option A. This command uses the UNION clause to combine the records from the legacy table and the newer table into a single result set. The UNION clause also eliminates any duplicate records that may exist in both tables, and sorts the result by default. The other options either do not produce the desired result or have syntax errors. For example, option B would join the records from the two tables based on a common column, but not remove any duplicates; option C would return only the records that are common to both tables, but not the ones that are unique to each table; option D would produce a Cartesian product of the records from the two tables, which would increase the number of duplicates. References: CompTIA DataSys+ Course Outline, Domain 1.0 Database Fundamentals, Objective 1.2 Given a scenario, execute database tasks using scripting and programming languages.