C_DBADM_2601 Testengine & C_DBADM_2601 Fragen&Antworten

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SAP C_DBADM_2601 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: SAP HANA Security	12%	- Implement security measures 1. Configure authorization 2. Configure authentication - Manage users and roles 1. Create and manage users 2. Create and manage roles
Topic 2: SAP HANA Performance Optimization	16%	- Optimize system performance 1. Analyze performance bottlenecks 2. Implement performance improvements - Manage memory and resources 1. Manage CPU and I/O resources 2. Configure memory allocation
Topic 3: 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
Topic 4: 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
Topic 5: 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 6: SAP HANA High Availability and Disaster Recovery	12%	- Implement high availability 1. Configure system replication 2. Manage failover - Implement disaster recovery 1. Plan for disaster recovery 2. Execute disaster recovery
Topic 7: SAP HANA Backup and Recovery	12%	- Perform recovery 1. Execute recovery 2. Prepare for recovery - Perform backups 1. Execute backups 2. Configure backup settings
Topic 8: SAP HANA Installation and Configuration	12%	- Install SAP HANA 1. Prepare for installation 2. Perform installation - Configure SAP HANA 1. Configure database properties 2. Configure services

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C_DBADM_2601 Fragen&Antworten, C_DBADM_2601 Prüfungen

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SAP Certified - Database Administrator - SAP HANA C_DBADM_2601 Prüfungsfragen mit Lösungen (Q70-Q75):

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

Antwort: D

Begründung:
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.

71. Frage
CHALLENGE 2 - Close Aggregation Monitoring Evidence
Claims reserve aggregation ran longer than expected during close rehearsal. Some monitoring thresholds were copied from the prior monthly profile before the upgrade. The reporting lead wants immediate tuning before the next rehearsal. What should the database owner do first?

A. Apply tuning immediately because the close aggregation runtime affects business timing.
B. Move aggregation tuning to SAP HANA Cloud because future reporting may transition there.
C. Disable aggregation monitoring so the next rehearsal focuses only on report completion.
D. Validate current monitoring thresholds and preserve baseline evidence before approving tuning.

Antwort: D

Begründung:
Feedback:
The database owner should validate threshold relevance and preserve baseline evidence before tuning. This keeps performance decisions tied to current close-cycle behavior instead of inherited monitoring assumptions.

72. Frage
A digital publishing company operates SAP HANA for subscriber activity reporting. Users report that dashboards are available, but refresh times vary sharply during the morning reporting window. SAP HANA cockpit shows no service outage, while monitoring history shows a recurring peak in expensive statement activity from a reporting workload. The database team is asked to increase system capacity immediately because the reports are business-critical.
The constraint is that the administrator must identify the execution pattern before recommending a capacity or scheduling change. The business requires stable refresh times, but the system must remain available during investigation.
Which action best fits the observed performance evidence?

A. Review the expensive statement pattern and workload timing, then apply a targeted scheduling or workload adjustment based on validated evidence.
B. Increase capacity immediately because dashboard variability always indicates insufficient database resources.
C. Restart SAP HANA during the reporting window so existing expensive statements are cleared before users refresh dashboards.
D. Disable the reporting workload until the next maintenance window so all expensive statements are removed from the system.

Antwort: A

Begründung:
Feedback:
This acts on the monitored execution evidence before changing the operating model. Reviewing expensive statement behavior and timing supports a targeted correction that links workload activity, resource use, and dashboard refresh validation.

73. Frage
CHALLENGE 4 - Shipping-Cycle Recovery Evidence Gate
The release lead can approve cutover on schedule using backup completion evidence, or delay briefly to include recovery validation for the validation database and recoverability evidence for the upgraded system. Which path is most defensible?

A. Approve on schedule because meeting the release decision date is the strongest governance outcome.
B. Delay briefly to complete recoverability evidence for systems supporting the release package.
C. Approve on schedule and attach recovery validation to the future SAP HANA Cloud migration plan.
D. Cancel the release decision because recovery validation was not completed before testing began.

Antwort: B

Begründung:
Feedback:
A brief delay is most defensible because it completes recoverability evidence for systems supporting the release package. This balances schedule governance with operational resilience evidence.

74. Frage
A manufacturing firm uses SAP HANA Cloud for analytics and an on-premises SAP HANA system for operational reporting. After a weekend parameter change, users report that a recurring operational report now completes, but much more slowly than before. Monitoring shows the database is available, CPU is elevated during the report window, and memory consumption remains within expected limits. A junior administrator proposes increasing system resources immediately.
The team lead wants the least disruptive action first because the slowdown affects only one workload pattern, not the entire database. The administrators can review runtime indicators and configuration settings through the available administration tools.
Which action is the best first step?

A. Increase database resources first because the higher CPU usage proves the current sizing is no longer sufficient.
B. Compare the changed configuration with current workload behavior and validate whether the parameter shift altered execution characteristics for that report pattern.
C. Roll back the recent parameter change immediately without validating whether it is linked to the report slowdown.
D. Restart the affected database so that the report executes with a clean runtime state and lower CPU utilization.

Antwort: B

Begründung:
Feedback:
The artifact pattern is selective degradation: one recurring report slows down, while the database remains available and memory stays normal. That points to a configuration-to-execution effect, not a broad platform failure. The best first step is to correlate the recent parameter change with workload behavior and validate whether execution characteristics changed for that report pattern. This keeps disruption low and follows the constraint of targeted diagnosis before broad corrective action.

75. Frage
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