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What is the most efficient method for auditing a password file in an environment with 200,000 users?

  1. Run the audit on a local machine.

  2. Use cluster-based computing resources to run the audit.

  3. Perform the audit during off-peak hours.

  4. Limit the audit to a random selection of users.

The correct answer is: Use cluster-based computing resources to run the audit.

Using cluster-based computing resources to run the audit is the most efficient method for auditing a password file in an environment with 200,000 users because this approach allows for significant parallel processing. Cluster computing involves using multiple interconnected computers to work on a task simultaneously, which can considerably speed up the auditing process by distributing the workload across numerous nodes. In environments with a large number of users, a traditional single-machine approach would likely be inadequate, resulting in long processing times and potential resource bottlenecks. In contrast, utilizing clusters can handle the extensive computations required for audits, such as checking password strength and compliance against security policies, much more effectively. This becomes critical when dealing with vast datasets where efficiency and speed are paramount. Other methods, while potentially useful in certain contexts, do not offer the same level of advantage. For instance, running the audit on a local machine limits processing power and could lead to extended downtime or delays. Performing the audit during off-peak hours only shifts the timing of the complete process without enhancing efficiency; it does not fundamentally change the speed of the operations. Limiting the audit to a random selection of users might reduce the size of the workload but risks missing potential issues associated with the remaining users, failing to provide a comprehensive overview of password