SAP C_DBADM_2601 Value Pack (Frequently Bought Together)

A subscription services provider operates SAP HANA in a mixed environment. After a planned configuration adjustment intended to improve throughput, administrators observe that nightly batch processing finishes on time, but interactive analyst queries now show intermittent delays. Monitoring shows no broad system outage, and memory consumption remains stable. CPU peaks occur only during specific interactive workload windows.
The platform owner wants a correction that preserves the batch improvement while avoiding a broad reversal of the recent tuning changes. The team must decide based on actual workload behavior rather than a general assumption that the entire configuration set should be rolled back.
What is the best next step?

• A. Increase system memory allocation first because stable memory use indicates the system is close to its capacity boundary.
• B. Compare the changed configuration against the affected workload pattern and adjust only the setting that is degrading interactive execution behavior.
• C. Reverse all recent configuration changes immediately because any slowdown after tuning proves the full change set was invalid.
• D. Move the interactive workload to the cloud database without further analysis because the current landscape already supports mixed deployment.

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

A regional furniture manufacturer uses SAP HANA for production-demand analytics. SAP HANA cockpit shows the database as available, but the operations dashboard displays a short CPU spike during the planning run while the workload log shows a longer query wait interval. Users reported slow report refreshes at the same time. A coordinator suggests raising the CPU alert threshold because the spike was brief.
The constraint is that the administrator must determine whether the user delay is related to workload wait behavior before changing monitoring thresholds. The next planning run must remain observable with evidence that can support troubleshooting.
Which action best supports the troubleshooting decision?

• A. Correlate the CPU spike, query wait interval, and user delay timing before deciding whether threshold changes are appropriate.
• B. Restart the database before the next planning run so the workload log starts from a clean state.
• C. Ignore the workload wait interval because SAP HANA cockpit did not show a database outage.
• D. Raise the CPU alert threshold because the observed spike was brief and the database remained available.

A regional paper packaging manufacturer is preparing an SAP HANA upgrade validation for an on-premises administration environment. The upgrade task completed, and SAP HANA cockpit shows the database as available. During validation, the administrator finds that the operations note records the new target level, but the lifecycle evidence file still contains the pre-upgrade component reference from the maintenance rehearsal. The plant reporting team asks to release the system because scheduled analytics are running.
The constraint is that the administrator must prove the upgraded lifecycle state before release. The decision cannot depend only on database availability or successful report execution when lifecycle evidence still reflects the earlier state.
Which action best supports release approval?

• A. Restart scheduled analytics so the reporting workload confirms the upgrade level during execution.
• B. Release the system because SAP HANA cockpit shows the database as available and scheduled analytics are running.
• C. Replace the pre-upgrade lifecycle evidence with the validated post-upgrade component evidence, then approve release after the records align.
• D. Keep the rehearsal component reference because it belongs to the same maintenance sequence and confirms upgrade planning.

CHALLENGE 2 - Restoration Simulation Monitoring Baseline
The UAT team has two viable actions: tune memory-related settings now to improve restoration analytics, or preserve monitoring evidence first and tune only if current evidence supports it. Which option best balances performance and evidence quality?

• A. Reject all tuning until the SAP HANA Cloud migration phase begins.
• B. Preserve baseline monitoring evidence first, then approve tuning if current evidence supports it.
• C. Replace monitoring review with field manager feedback because the dashboard is user-facing.
• D. Tune now and use the improved response time as the main release readiness measure.