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SAP C-DBADM-2601 Exam Syllabus Topics:

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

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SAP Certified - Database Administrator - SAP HANA Sample Questions (Q164-Q169):

NEW QUESTION # 164
A regional home services company uses SAP HANA for technician assignment analytics in an on-premises administration environment. After a controlled start activity, SAP HANA cockpit shows the database as available, and business users can open dashboards. During operational validation, the administrator sees that one administration parameter is active for the system database context but not for the tenant context used by the scheduled reporting workload. The change record lists the parameter as completed.
The constraint is that the administrator must confirm the configuration in the context where execution occurs. The team must not approve the activity based only on a completed change record or system-level visibility.
Which action best resolves the configuration validation gap?

A. Approve the activity because SAP HANA cockpit shows the database as available and the change record is complete.
B. Restart the database so the system database parameter automatically applies to all execution contexts.
C. Validate the parameter in the tenant context used by the workload, apply the correction there if needed, and rerun the scheduled validation.
D. Move the scheduled reporting workload to a manual validation process until the next maintenance window.

Answer: C

Explanation:
Feedback:
This addresses the configuration scope where the scheduled workload executes. Validating and correcting the tenant context, then rerunning scheduled validation, confirms that configuration scope, runtime use, execution behavior, and operational evidence are aligned.

NEW QUESTION # 165
CHALLENGE 3 - Cloud Migration Readiness Separation
The steering update needs to cover current UAT release readiness and future SAP HANA Cloud reporting migration. The on-premises UAT systems have backup and monitoring evidence, while the cloud database has provisioning and limited data only. Which action best supports accurate decision-making?

A. Combine all evidence into one readiness status so the steering update is easier to read.
B. Separate current UAT readiness from SAP HANA Cloud migration readiness in the update.
C. Delay UAT sign-off until SAP HANA Cloud carries the same activation reporting workload.
D. Treat cloud provisioning as proof that the migration stream is ready for reporting transition.

Answer: B

Explanation:
Feedback:
The update should separate current UAT readiness from SAP HANA Cloud migration readiness. The evidence supports different lifecycle decisions and should not be merged into one conclusion.

NEW QUESTION # 166
A regional medical device distributor uses SAP HANA for warranty analytics. After a backup policy adjustment, SAP HANA cockpit shows the latest backup completed successfully. During a recovery readiness review, the administrator finds that the recovery workbook still identifies the previous recovery target point and does not include the latest completed backup in the selection sequence. A reviewer suggests approving the workbook because the backup catalog shows the new backup entry.
The constraint is that the administrator must prove the documented recovery sequence can reach the intended recovery point. Catalog visibility alone is not enough if the workbook still selects an older recovery path.
Which action best supports recovery readiness approval?

A. Update the recovery workbook to include the latest valid backup sequence, validate the intended recovery point, and record the evidence.
B. Approve the workbook because the backup catalog shows the latest backup completed successfully.
C. Create a new backup catalog export and attach it to the workbook without changing the selected recovery sequence.
D. Restart SAP HANA so the recovery workbook can recognize the latest backup entry during the next review.

Answer: A

Explanation:
Feedback:
This corrects the recovery-sequence dependency at the procedure layer. Updating the workbook, validating the intended recovery point, and recording evidence aligns backup availability, artifact selection, recovery execution, and resilience approval.

NEW QUESTION # 167
A regional laboratory services provider operates SAP HANA in a mixed landscape supporting internal analytics and administrative applications. During a deployment review, the architecture worksheet shows that one reporting workload was assigned to a target environment intended for operational administration tasks. The workload owner reports that the system is reachable, but the monitoring summary shows inconsistent resource usage during business-hour reporting.
The constraint is that the administrator must determine whether the placement supports the intended SAP HANA workload pattern before any configuration change is approved. The review must distinguish basic reachability from architecture-fit validation because later lifecycle and monitoring tasks will depend on the selected deployment context.
Which action best supports the architecture review?

A. Increase monitoring thresholds so the inconsistent resource usage does not block the deployment review.
B. Validate the workload characteristics against the selected SAP HANA deployment context and update the architecture record before approving dependent administration settings.
C. Approve the placement because the workload owner confirmed that the SAP HANA system is reachable.
D. Move the workload to the newest available environment because modernization is part of the landscape direction.

Answer: B

Explanation:
Feedback:
This addresses the deployment-context layer before dependent administration settings are approved. Validating workload characteristics, placement intent, resource behavior, and architecture documentation ensures the configuration path is based on the correct SAP HANA operating context.

NEW QUESTION # 168
A laboratory services company runs SAP HANA for sample throughput reporting. The database remains available, but SAP HANA cockpit shows a recurring warning for long-running statements during the evening batch reporting period. The reporting job completes, yet the next morning dashboard refresh is slower than expected. A support coordinator proposes increasing dashboard timeout values because the reports eventually finish.
The constraint is that the administrator must correct the operational cause rather than mask the symptom. The system must remain available, and any adjustment must be based on monitoring evidence from the affected execution window.
Which response best fits the monitoring evidence?

A. Restart the database after evening reporting so long-running statement history does not affect the next dashboard cycle.
B. Increase dashboard timeout values so users can wait longer for the morning refresh to complete.
C. Disable the evening reporting job until dashboard refresh times return to the expected level.
D. Analyze the long-running statement pattern during the batch period and adjust the workload timing or configuration based on the validated cause.

Answer: D

Explanation:
Feedback:
This acts at the monitored workload behavior layer. Reviewing the execution pattern and applying a targeted timing or configuration correction links the alert evidence to the cause before validating improved dashboard behavior.

NEW QUESTION # 169
......

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