Salesforce Certified Identity and Access Management Practice

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How can Salesforce administrators track and analyze user login patterns?

By utilizing the Login History feature to log and review access attempts

Using the Login History feature is a primary method for Salesforce administrators to track and analyze user login patterns effectively. This feature provides detailed logs of user access attempts, including successful and unsuccessful logins, which helps administrators monitor user behavior, identify trends, and detect potential security issues such as unauthorized access attempts.

When analyzing the data from the Login History, administrators can determine peak login times, track how often users access their accounts, and see if there are any anomalies in login patterns. This information is crucial for ensuring the security of the Salesforce environment as it allows the identification of suspicious behavior or possible attacks, ensuring that appropriate security measures can be taken promptly.

The other methods listed do not offer the same level of direct analysis of user login patterns. Machine learning algorithms may provide advanced insights when applied after gathering historical data but do not track login patterns themselves. User surveys focus on subjective feedback rather than objective data on login attempts, while limiting access focuses more on security than on tracking login behavior. Thus, the most effective and straightforward method for analyzing user login patterns remains the use of the Login History feature.

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By implementing machine learning algorithms

By conducting user surveys regarding their login experience

By limiting access to ensure security

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