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SAP C_DBADM_2601 Exam Syllabus Topics:

Section	Weight	Objectives
SAP HANA Performance Optimization	16%	- Optimize system performance 1. Implement performance improvements 2. Analyze performance bottlenecks - Manage memory and resources 1. Configure memory allocation 2. Manage CPU and I/O resources
SAP HANA Security	12%	- Manage users and roles 1. Create and manage roles 2. Create and manage users - Implement security measures 1. Configure authorization 2. Configure authentication
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 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 Backup and Recovery	12%	- Perform recovery 1. Prepare for recovery 2. Execute recovery - Perform backups 1. Execute backups 2. Configure backup settings
SAP HANA Database Administration	12%	- Manage data 1. Import and export data 2. Manage data storage - Manage database objects 1. Manage tables and views 2. Create and manage schemas
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 High Availability and Disaster Recovery	12%	- Implement disaster recovery 1. Plan for disaster recovery 2. Execute disaster recovery - Implement high availability 1. Manage failover 2. Configure system replication

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SAP Certified - Database Administrator - SAP HANA Sample Questions (Q174-Q179):

NEW QUESTION # 174
A regional healthcare supply wholesaler runs SAP HANA for distribution analytics. SAP HANA cockpit shows the database as available, but the operations dashboard displays normal response time while a workload review shows a short queue increase during invoice analytics processing. Users reported a delay during the same interval. The support lead suggests increasing response-time thresholds because the dashboard did not show a severe issue.
The constraint is that the administrator must explain the delay using consistent monitoring evidence before changing thresholds. The next invoice analytics cycle must remain observable without masking the symptom.
Which action best supports correct troubleshooting?

A. Ignore the workload queue increase because the operations dashboard showed normal response time.
B. Restart SAP HANA before the next invoice analytics cycle to reset both response-time and queue measurements.
C. Compare the dashboard interval with workload queue evidence, validate the timing relationship, and investigate the queue source before changing thresholds.
D. Increase response-time thresholds so minor delays no longer appear as operational concerns.

Answer: C

Explanation:
Feedback:
This addresses the monitoring correlation layer. Aligning dashboard timing with queue evidence and investigating the queue source connects user symptom, workload behavior, monitoring interpretation, and any later configuration decision.

NEW QUESTION # 175
CHALLENGE 1 - UAT Configuration Evidence Reconciliation
During UAT preparation, test users can open activation backlog reports from both SAP HANA systems. The newly installed UAT database has its active configuration documented, but the upgraded reporting system still has one post-upgrade value recorded only in a release note. What should the administrator do before accepting the UAT comparison?

A. Accept the comparison because both systems return the required reports during UAT.
B. Continue UAT and review the release note only if report users identify inconsistent data.
C. Remove the documented value from the UAT database record so both systems appear aligned.
D. Reconcile the release-note value into the upgraded system's current administration record.

Answer: D

Explanation:
Feedback:
The administrator should reconcile the release-note value into the current administration record before accepting the comparison. Report access does not prove that both SAP HANA systems are being evaluated against documented active states.

NEW QUESTION # 176
A food distribution company uses SAP HANA for warehouse performance reporting. The administrator performs a scheduled recovery test in a non-production validation environment using the latest available backup set. The restore starts successfully, but validation shows that the recovered database does not include the expected transactions from the final hour before the backup window closed. The backup monitor shows successful data backup completion and a later log backup entry marked as delayed.
The constraint is that the administrator must validate the agreed recovery point before the backup process is accepted. The team cannot treat a successful restore start as sufficient evidence of recovery readiness.
What should the administrator do next?

A. Create a new data backup after the test and use that completion result as proof that the previous recovery point was valid.
B. Accept the recovery test because the restore process started successfully from a valid backup set.
C. Investigate the delayed log backup dependency, make the required log sequence available, and rerun recovery validation for the target point.
D. Repeat the restore using the same backup set and skip the transaction-level validation step.

Answer: C

Explanation:
Feedback:
This addresses the missing recovery dependency at the correct layer. Making the required log sequence available and rerunning validation confirms that data backup, log backup retrieval, recovery execution, and business recovery point evidence are aligned.

NEW QUESTION # 177
CHALLENGE 2 - Dispatch Simulation Monitoring Baseline
The monitoring dashboard shows acceptable business-hour availability, but carrier exception behavior varies overnight. The thresholds may still reflect the pre-cutover reporting profile. Which action best supports a reliable cutover conclusion?

A. Confirm threshold relevance for the overnight dispatch workload before interpreting the dashboard trend.
B. Treat business-hour availability as sufficient because the database remained reachable.
C. Increase all thresholds so the final readiness review avoids unnecessary performance warnings.
D. Tune the overnight workload first and update monitoring evidence after the release decision.

Answer: A

Explanation:
Feedback:
Threshold relevance should be confirmed before interpreting the dashboard trend. The scenario shows that inherited thresholds can distort how dispatch simulation behavior is understood.

NEW QUESTION # 178
A media distribution company recently adjusted a database configuration setting on its on-premises SAP HANA environment to improve background data preparation before replication to SAP HANA Cloud. The next day, overnight processing improved, but administrators notice that morning analyst sessions now experience short response spikes during a narrow usage window. System availability is normal, and memory indicators remain within target range.
A platform engineer recommends increasing CPU allocation because the analyst complaints appear during peak usage. The service owner wants the least disruptive correction that preserves the overnight gain while resolving the new daytime regression.
What is the best first step?

A. Move the analyst workload completely to SAP HANA Cloud because the mixed landscape already supports that target environment.
B. Compare the recent configuration change against the affected workload pattern and adjust only the setting that is shifting performance away from interactive use.
C. Increase CPU resources first because a short response spike always indicates the current configuration is already correct but undersized.
D. Reverse the full tuning change immediately because any daytime slowdown proves the optimization attempt failed overall.

Answer: B

Explanation:
Feedback:
The evidence shows a selective trade-off, not total system degradation: overnight processing improved, but a narrow interactive workload regressed. That points to a configuration-to-workload effect. The best first step is to correlate the recent setting change with the affected workload pattern and make a scoped correction. This preserves the intended gain while fixing the specific daytime impact.

NEW QUESTION # 179
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