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SAP C_DBADM_2601 Exam Syllabus Topics:

Section	Weight	Objectives
SAP HANA Performance Optimization	16%	- Optimize system performance 1. Analyze performance bottlenecks 2. Implement performance improvements - Manage memory and resources 1. Configure memory allocation 2. Manage CPU and I/O resources
SAP HANA Monitoring and Troubleshooting	12%	- Monitor system performance 1. Use monitoring tools 2. Analyze performance data - Troubleshoot issues 1. Identify and resolve issues 2. Analyze logs and traces
SAP HANA Backup and Recovery	12%	- Perform backups 1. Configure backup settings 2. Execute backups - Perform recovery 1. Execute recovery 2. Prepare for recovery
SAP HANA Database Administration	12%	- Manage database objects 1. Create and manage schemas 2. Manage tables and views - Manage data 1. Manage data storage 2. Import and export data
SAP HANA System Administration	12%	- Manage system configuration 1. Manage services 2. Configure system parameters - Perform system maintenance 1. Manage system lifecycle 2. Apply patches and updates
SAP HANA Installation and Configuration	12%	- Install SAP HANA 1. Prepare for installation 2. Perform installation - Configure SAP HANA 1. Configure services 2. Configure database properties
SAP HANA Security	12%	- Implement security measures 1. Configure authentication 2. Configure authorization - Manage users and roles 1. Create and manage users 2. Create and manage roles
SAP HANA High Availability and Disaster Recovery	12%	- Implement high availability 1. Manage failover 2. Configure system replication - Implement disaster recovery 1. Plan for disaster recovery 2. Execute disaster recovery

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SAP Certified - Database Administrator - SAP HANA Sample Questions (Q195-Q200):

NEW QUESTION # 195
CHALLENGE 3 - Freight Cloud Readiness Boundary
The modernization lead wants the SAP HANA Cloud database included in the same release readiness status because it is provisioned and has a freight sample dataset. The cloud environment has not completed the startup, monitoring, or recovery evidence package used for active cutover systems. What is the best response?

A. Keep cloud migration evidence separate until cloud-specific administration validation is completed.
B. Include the cloud database in the same status because provisioning and sample data show progress.
C. Stop cloud planning until the current cutover release decision is fully completed.
D. Use the upgraded distribution system's monitoring record as the SAP HANA Cloud readiness record.

Answer: A

Explanation:
Feedback:
Cloud migration evidence should remain separate until cloud-specific administration validation is completed. Provisioning and sample data support planning, but they do not equal active cutover release readiness.

NEW QUESTION # 196
A regional water services company uses SAP HANA for operational consumption analytics in an on-premises administration environment. After planned maintenance, the database starts and SAP HANA cockpit shows the system as available. During validation, an administrator runs an hdbsql check from the operations workstation and receives a connection response from a different database endpoint than the one recorded in the maintenance plan. The old endpoint was retained in a saved connection profile used by the operations team.
The constraint is that the administrator must validate the intended SAP HANA database before reopening scheduled administration checks. The team must not treat a successful connection as proof that the correct database target was reached.
Which action best resolves the validation issue?

A. Restart the intended database so the saved connection profile automatically redirects to the active endpoint.
B. Accept the validation because hdbsql returned a successful connection response from an SAP HANA database.
C. Recreate the administrator user because a wrong endpoint response indicates the user was assigned to the wrong database.
D. Correct the saved connection profile to the intended database endpoint, rerun the hdbsql check, and validate the target identity.

Answer: D

Explanation:
Feedback:
This corrects the target-binding issue at the administration tooling layer. Updating the saved profile, rerunning the check, and validating the target identity confirms that connection configuration, execution, and evidence all refer to the intended SAP HANA database.

NEW QUESTION # 197
An engineering services firm uses an on-premises SAP HANA system for daily operational processing and a separate SAP HANA Cloud database for project analytics. After a controlled stop and start sequence during maintenance, administrators confirm that the main instance is reachable again. However, one scheduled post-maintenance validation still fails because the target database remains inactive for application use even though general service status looks normal.
A colleague proposes restarting the full system one more time to clear any remaining inconsistency. The maintenance coordinator wants the smallest corrective action that restores the required database state without disturbing healthy components that are already back online.
What should the administrator do next?

A. Delay the validation until the next cycle because the main instance is already reachable and broad service recovery has been achieved.
B. Repeat a full instance restart because service availability suggests only a temporary post-maintenance inconsistency remains.
C. Validate the operational state of the specific database and activate only that database if its state does not match the required post-maintenance target.
D. Run an immediate full backup first so that any further administration action occurs only after a new protection point is created.

Answer: C

Explanation:
Feedback:
This is a state-mismatch scenario. The instance is reachable, but the required database is still not in the correct operational state for application validation. The right sequence is to verify the state of the affected database and activate that database only if needed. That aligns action scope with the actual problem.

NEW QUESTION # 198
A regional hospitality group runs SAP HANA for occupancy and revenue analytics. SAP HANA cockpit shows the database as available, but the operations team notices that a performance alert appears only after the reporting peak has already passed. The monitoring history shows that the alert condition existed during the peak window, but the alert evaluation schedule was changed during an administration cleanup. Reports eventually complete, so the support team suggests accepting the current behavior.
The constraint is that the administrator must ensure monitoring supports timely operational response, not only after-the-fact review. The next reporting peak must be covered by alert evaluation that reflects the active workload window.
Which action best addresses the alert timing issue?

A. Restart the database before the next peak so alert evaluation begins from a clean runtime state.
B. Align the alert evaluation schedule with the reporting peak window and validate that alerts trigger during the active workload period.
C. Accept the current monitoring behavior because reports eventually complete after the reporting peak.
D. Raise the alert threshold so fewer delayed alerts appear in SAP HANA cockpit.

Answer: B

Explanation:
Feedback:
This corrects the monitoring schedule dependency. Aligning evaluation timing with the reporting peak and validating trigger behavior confirms that workload activity, alert evaluation, notification evidence, and operational response timing are aligned.

NEW QUESTION # 199
CHALLENGE 2 - Simulation Monitoring Baseline Control
The reporting team asks to apply memory-related tuning before the next baggage-volume simulation because response times varied during the first SIT cycle. The current monitoring baseline has not been fully captured. What should the database owner do first?

A. Move tuning decisions to the SAP HANA Cloud system because future analytics will run there.
B. Apply tuning immediately because faster simulation response time supports rollout confidence.
C. Capture current monitoring behavior and validate threshold relevance before approving tuning.
D. Disable simulation monitoring so the next run focuses only on report completion.

Answer: C

Explanation:
Feedback:
The database owner should capture monitoring behavior and validate thresholds before tuning. This keeps the SIT baseline clear before any performance change alters the evidence used for rollout decisions.

NEW QUESTION # 200
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