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SAP C_DBADM_2601 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: SAP HANA High Availability and Disaster Recovery	12%	- Implement disaster recovery 1. Execute disaster recovery 2. Plan for disaster recovery - Implement high availability 1. Configure system replication 2. Manage failover
Topic 2: SAP HANA Performance Optimization	16%	- Manage memory and resources 1. Configure memory allocation 2. Manage CPU and I/O resources - Optimize system performance 1. Analyze performance bottlenecks 2. Implement performance improvements
Topic 3: SAP HANA Monitoring and Troubleshooting	12%	- Monitor system performance 1. Use monitoring tools 2. Analyze performance data - Troubleshoot issues 1. Analyze logs and traces 2. Identify and resolve issues
Topic 4: SAP HANA Installation and Configuration	12%	- Install SAP HANA 1. Perform installation 2. Prepare for installation - Configure SAP HANA 1. Configure database properties 2. Configure services
Topic 5: SAP HANA Backup and Recovery	12%	- Perform backups 1. Configure backup settings 2. Execute backups - Perform recovery 1. Prepare for recovery 2. Execute recovery
Topic 6: SAP HANA Database Administration	12%	- Manage database objects 1. Create and manage schemas 2. Manage tables and views - Manage data 1. Import and export data 2. Manage data storage
Topic 7: SAP HANA Security	12%	- Manage users and roles 1. Create and manage users 2. Create and manage roles - Implement security measures 1. Configure authentication 2. Configure authorization
Topic 8: SAP HANA System Administration	12%	- Manage system configuration 1. Configure system parameters 2. Manage services - Perform system maintenance 1. Apply patches and updates 2. Manage system lifecycle

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SAP Certified - Database Administrator - SAP HANA Sample Questions (Q148-Q153):

NEW QUESTION # 148
CHALLENGE 2 - Outage Analytics Monitoring Baseline
Early-morning incident simulation reports showed variable response time, and the operations lead requests tuning before the next service review. The monitoring baseline has not been fully captured, and some thresholds still reflect the pre-hypercare reporting profile. What should the database owner do first?

A. Disable incident simulation alerts so the next review focuses only on report completion.
B. Capture the current monitoring baseline and validate threshold relevance before tuning.
C. Apply tuning immediately because outage analytics affects service operations readiness.
D. Move the tuning decision to SAP HANA Cloud because future analytics may migrate there.

Answer: B

Explanation:
Feedback:
The database owner should capture the baseline and validate threshold relevance before tuning. This prevents performance changes from obscuring the current hypercare evidence.

NEW QUESTION # 149
A regional subscription meal company runs SAP HANA for delivery forecast analytics. SAP HANA cockpit shows normal database availability, but the operations team sees that a memory consumption graph has a gap during the nightly planning run. The alert log has no critical entry, yet planners reported slower dashboard response during that same interval. A support coordinator suggests lowering the memory alert threshold to catch the next occurrence.
The constraint is that the administrator must restore trustworthy monitoring evidence before changing alert sensitivity. The next planning run must allow the team to correlate workload behavior with memory evidence.
Which action best addresses the monitoring gap?

A. Ignore the graph gap because no critical alert was created and the database remained available.
B. Restart the database before the next planning run so the memory graph begins with a clean measurement baseline.
C. Verify and correct the memory metric collection path, monitor the next planning run, and validate that the graph captures the interval.
D. Lower the memory alert threshold so the next planning run produces a clearer alert.

Answer: C

Explanation:
Feedback:
This acts at the monitoring evidence layer where the artifact is incomplete. Correcting metric collection and validating the next run aligns workload timing, memory evidence, troubleshooting interpretation, and later configuration decisions.

NEW QUESTION # 150
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. Reverse the full tuning change immediately because any daytime slowdown proves the optimization attempt failed overall.
D. Increase CPU resources first because a short response spike always indicates the current configuration is already correct but undersized.

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 # 151
A regional specialty foods company is rehearsing a phased move from SAP HANA on-premises to SAP HANA Cloud. The migration transfer completes, and database explorer can query the cloud target. During validation, the administrator finds that the cloud-side backup review was performed before the imported content was available, while monitoring review was performed after import. The project lead wants approval because both checks appear in the workbook.
The constraint is that the migration wave must prove target administration readiness after the migrated state exists. The team needs repeatable validation evidence for later waves, not a checklist that mixes pre-import and post-import states.
What should the administrator recommend?

A. Repeat only the data transfer because the timing mismatch indicates that the imported content may not have reached the cloud target.
B. Approve the rehearsal because both backup review and monitoring review are present in the validation workbook.
C. Repeat the target-side backup review after import, confirm monitoring evidence for the same migrated state, and approve only if both pass.
D. Defer backup review until after production cutover because monitoring was already validated after import.

Answer: C

Explanation:
Feedback:
This corrects the validation timing dependency at the target administration layer. Repeating backup review after import and confirming monitoring against the same migrated state aligns transfer completion, target operations, resilience evidence, and repeatable approval criteria.

NEW QUESTION # 152
CHALLENGE 2 - Dispatch Simulation Monitoring Baseline
A performance specialist suggests applying tuning before preserving baseline evidence because the final cutover review needs better carrier exception dashboard response time. The database owner is concerned about later release comparison. Which decision is most appropriate?

A. Use SAP HANA Cloud test results to replace on-premises monitoring evidence.
B. Apply tuning first and document the original baseline as unavailable.
C. Preserve the current baseline, then document any tuning as a controlled follow-on change.
D. Cancel the final cutover review until all performance variability is eliminated.

Answer: C

Explanation:
Feedback:
The current baseline should be preserved before tuning is documented as a controlled follow-on change. This keeps release comparison evidence understandable while still allowing performance improvement when justified.

NEW QUESTION # 153
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