The two factors that the database administrator should monitor to gauge server health are CPU usage and memory usage. CPU usage is the percentage of time that the processor (CPU) of the server is busy executing instructions or processes. CPU usage indicates how much workload the server can handle and how fast it can process requests. High CPU usage may affect the performance or availability of the server and cause delays or errors. Memory usage is the amount of physical memory (RAM) or virtual memory (swap space) that the server uses to store data or run applications. Memory usage indicates how much space the server has to store temporary or intermediate data or results. High memory usage may affect the performance or availability of the server and cause swapping or paging. The other options are either not relevant or not direct indicators of server health. For example, transaction logs are files that record the changes made by transactions on the database; network sniffer is a tool that captures and analyzes network traffic; domain controllers are servers that manage user authentication and authorization in a network; firewall traffic is the amount of data that passes through a firewall device or software. Reference: CompTIA DataSys+ Course Outline, Domain 3.0 Database Management and Maintenance, Objective 3.2 Given a scenario, monitor database performance.

The correct answer is C. Transpose. According to CompTIA DataSys+ objectives, spreadsheet tools are often used alongside databases for reporting, analysis, and data validation. The Transpose function is specifically designed to switch data orientation, converting rows into columns or columns into rows. This makes it the most efficient and accurate choice when an analyst needs to quickly reformat data for analysis or reporting purposes.
In practical scenarios, error reports or exported datasets may not always align with the structure required for analytical tools or pivot-style analysis. Transpose allows analysts to reshape the data without rewriting formulas or manually re-entering values. DataSys+ highlights the importance of understanding basic data manipulation techniques in spreadsheets, especially when working with imported or exported database data.
Option A, Concat, is used to combine text from multiple cells into a single cell and does not change the orientation of data. Option B, VLOOKUP, is a lookup function used to retrieve matching values from a table based on a key; it does not modify how data is arranged. Option D, Clean, is used to remove non-printable characters from text and is helpful for data cleansing, not restructuring.
Transpose is particularly useful because it preserves the original data values while changing their layout, reducing the risk of data corruption or misinterpretation. CompTIA DataSys+ emphasizes efficiency and accuracy in data handling, especially when analysts must respond quickly to reporting or troubleshooting needs.
By using Transpose, the analyst can immediately align the dataset with the required analytical format, saving time and ensuring consistency. Therefore, the spreadsheet function that best meets the requirement of switching rows to columns is Transpose, making option C the correct and fully verified answer.