Valid C-DBADM-2601 Test Pattern & C-DBADM-2601 Reliable Exam Review

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SAP C-DBADM-2601 Exam Syllabus Topics:

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

>> Valid C-DBADM-2601 Test Pattern <<

Pass Guaranteed SAP - Professional C-DBADM-2601 - Valid SAP Certified - Database Administrator - SAP HANA Test Pattern

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SAP Certified - Database Administrator - SAP HANA Sample Questions (Q159-Q164):

NEW QUESTION # 159
A regional event management company runs SAP HANA for ticket sales analytics. SAP HANA cockpit shows the database as available, but the operations team observes that statement-level troubleshooting evidence is missing for one reporting window. The general performance dashboard shows a brief response-time increase, while the detailed statement history has no entries for the affected period. A support coordinator proposes adjusting report schedules because the dashboard indicates a slowdown.
The constraint is that the administrator must validate the diagnostic evidence path before changing workload timing. The next reporting window must remain available while the team confirms why detailed statement evidence was not captured.
Which action best addresses the troubleshooting gap?

A. Ignore the issue because the database remained available and only detailed troubleshooting evidence was missing.
B. Restart SAP HANA before the next window so the detailed statement history starts with a clean monitoring state.
C. Verify the statement-history collection path for the affected period, correct the collection issue, and validate captured evidence in the next window.
D. Change the report schedule immediately because the response-time increase proves the workload timing is wrong.

Answer: C

Explanation:
Feedback:
This targets the diagnostic collection layer where the artifact is incomplete. Correcting and validating statement-history capture links the performance symptom, evidence collection, troubleshooting analysis, and subsequent decision path.

NEW QUESTION # 160
CHALLENGE 1 - Supplier Allocation Readiness for Shared Material Demand
A plant buyer argues that urgent materials should allow local supplier substitution whenever the expected allocation pattern does not appear quickly enough during rehearsal. The cutover office is concerned that this approach will create unpredictable post-go-live support demands. Which decision is most appropriate?

A. Permit local supplier substitution for all urgent materials because speed is more important during rehearsal
B. Remove shared-demand materials from rehearsal scope and validate only plant-specific items
C. Preserve centrally governed allocation behavior and confirm whether shared-demand materials enter purchasing execution with aligned sourcing assumptions
D. Pause all supplier-allocation validation until the legacy system is fully shut down

Answer: C

Explanation:
Feedback:
The scenario is testing whether shared-demand materials can follow the intended sourcing model under cutover pressure. Preserving centrally governed allocation behavior while validating aligned sourcing assumptions protects both go-live supportability and template reuse.

NEW QUESTION # 161
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. Ignore the workload wait interval because SAP HANA cockpit did not show a database outage.
B. Correlate the CPU spike, query wait interval, and user delay timing before deciding whether threshold changes are appropriate.
C. Raise the CPU alert threshold because the observed spike was brief and the database remained available.
D. Restart the database before the next planning run so the workload log starts from a clean state.

Answer: B

Explanation:
Feedback:
This addresses the evidence-correlation layer. Aligning CPU behavior, query wait timing, and user impact supports a valid troubleshooting conclusion before any monitoring threshold or configuration decision is made.

NEW QUESTION # 162
A regional scientific instruments company is planning an incremental migration rehearsal from SAP HANA on-premises to SAP HANA Cloud. The source system export completes, and the cloud target is reachable in database explorer. Before import approval, the administrator discovers that the migration worksheet records the target connection test but does not record whether the target administration baseline was captured before loading migrated data. The project lead wants to continue because target access is confirmed.
The constraint is that the rehearsal must preserve a clean before-and-after comparison for the cloud target. The team must be able to distinguish pre-import target readiness from post-import migrated-state validation.

A. Continue with import because database explorer confirms the SAP HANA Cloud target is reachable.
B. Capture the target administration baseline before import, then record post-import validation separately for the migrated state.
C. Repeat the source export because missing target baseline evidence means the source data is unreliable.
D. Defer the target baseline until after import because the migrated state is the only state that matters for approval.

Answer: B

Explanation:
Feedback:
This resolves the migration validation sequencing gap. Capturing the pre-import administration baseline and recording post-import evidence separately aligns target readiness, import execution, migrated-state validation, and repeatable migration controls.

NEW QUESTION # 163
CHALLENGE 2 - Replenishment Analytics Monitoring Baseline
The database team can either tune memory-related settings now to improve evening replenishment analytics or first preserve baseline monitoring evidence and tune only if current evidence supports it. Which option is most defensible?

A. Preserve baseline monitoring evidence first, then approve tuning if current evidence supports it.
B. Replace monitoring review with merchandising user feedback because the reports are business-facing.
C. Reject all tuning until all store analytics reporting moves to SAP HANA Cloud.
D. Tune now and use the improved replenishment runtime as the remediation success measure.

Answer: A

Explanation:
Feedback:
Preserving the monitoring baseline first is most defensible because tuning should follow current evidence. This balances reporting performance needs with reliable remediation evidence for later regional comparison.

NEW QUESTION # 164
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