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IBM Instana V1.0.243 Administration Sample Questions:

1. What is one difference between monitoring and observability?

A) Observability is superior to monitoring because it does the same as monitoring plus a lot more, saving one solution to install and maintain.
B) Monitoring will alert on specific consolidated incidents but observability does not include alerting.
C) Observability shows which services are affected by an issue and why, where monitoring shows the services being affected.
D) Although observability gives more insights, maintaining an observability solution is hard because there is a lot to configure to make it work.

2. Why is it beneficial to assign users to groups rather than managing each user's permissions individually?

A) It automatically increases the server processing power.
B) It simplifies the management of network cables.
C) It allows for easier and more consistent permission management.
D) It enhances the organization's social media presence.

3. When integrating with CI/CD pipelines, what is the primary goal?

A) To automate building, testing, and deployment processes
B) To decrease code quality
C) To slow down the development process
D) To limit communication between development and operations teams

4. What is an essential consideration when creating API tokens?

A) Using the same token for all users
B) Avoiding token expiration dates
C) Ensuring the token is easily guessable
D) Setting appropriate permissions based on use case

5. How should SLOs be adapted for a service with highly variable load patterns and critical real-time processing requirements?

A) Set overly stringent SLOs to ensure high performance at all times, regardless of actual load, to account for unexpected spikes in demand and ensure that real-time processing requirements are always met.
B) Maintain static SLOs throughout, ignoring variable load patterns and focusing only on maintaining a consistent baseline for performance and availability.
C) Establish tiered SLOs that define different levels of service expectations during identified peak and off-peak periods, with stricter SLOs applied during peak times to address real-time processing needs and more relaxed SLOs during off-peak times to optimize resource usage.
D) Adjust SLOs dynamically based on predicted load patterns, using historical data to forecast high-load periods and relaxing SLOs during low-load times to allow for system maintenance and updates.

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