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SAP C_DBADM_2601 Exam Syllabus Topics:

Section	Weight	Objectives
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
SAP HANA Monitoring and Troubleshooting	12%	- Monitor system performance 1. Analyze performance data 2. Use monitoring tools - Troubleshoot issues 1. Identify and resolve issues 2. Analyze logs and traces
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 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
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
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
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 Installation and Configuration	12%	- Configure SAP HANA 1. Configure database properties 2. Configure services - Install SAP HANA 1. Prepare for installation 2. Perform installation

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SAP Certified - Database Administrator - SAP HANA Sample Questions (Q206-Q211):

NEW QUESTION # 206
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. Move the tuning decision to SAP HANA Cloud because future analytics may migrate there.
B. Apply tuning immediately because outage analytics affects service operations readiness.
C. Disable incident simulation alerts so the next review focuses only on report completion.
D. Capture the current monitoring baseline and validate threshold relevance before tuning.

Answer: D

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 # 207
CHALLENGE 3 - Quota and Source Coordination for Multi-Vendor Materials
During isolated testing, a seasoning blend behaves acceptably with more than one approved supplier. During cross-plant cutover rehearsal, however, purchasing activity begins concentrating around one operationally convenient vendor even though the intended design expects shared supplier usage. What is the best interpretation?

A. The team should validate whether quota-related sourcing setup and source coordination remain aligned once cross-plant operational demand is introduced
B. The concentration on one vendor proves that the original sourcing design was unnecessarily complex
C. The project should remove multi-vendor materials from the first live week to simplify supplier communication
D. The multi-vendor design is working because at least one approved supplier is being used successfully

Answer: A

Explanation:
Feedback:
The scenario shows acceptable behavior in isolated testing but divergence under cross-plant operational demand, which points to a coordination dependency rather than a simple supplier-performance question. Validating quota-related setup and source coordination under realistic demand is the correct next step.

NEW QUESTION # 208
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. Release the system because SAP HANA cockpit shows the database as available and scheduled analytics are running.
B. Replace the pre-upgrade lifecycle evidence with the validated post-upgrade component evidence, then approve release after the records align.
C. Restart scheduled analytics so the reporting workload confirms the upgrade level during execution.
D. Keep the rehearsal component reference because it belongs to the same maintenance sequence and confirms upgrade planning.

Answer: B

Explanation:
Feedback:
This resolves the lifecycle-state mismatch at the upgrade evidence layer. Replacing the pre-upgrade reference with validated post-upgrade component evidence aligns the upgrade task, system state, validation record, and release decision.

NEW QUESTION # 209
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. Verify and correct the memory metric collection path, monitor the next planning run, and validate that the graph captures the interval.
B. Ignore the graph gap because no critical alert was created and the database remained available.
C. Lower the memory alert threshold so the next planning run produces a clearer alert.
D. Restart the database before the next planning run so the memory graph begins with a clean measurement baseline.

Answer: A

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 # 210
CHALLENGE 3 - Freight Cloud Readiness Boundary
The executive update needs to cover current cutover readiness and future SAP HANA Cloud reporting migration. The on-premises cutover systems have backup and monitoring evidence, while the cloud database has provisioning and sample data only. Which action best supports accurate decision-making?

A. Separate current cutover readiness from SAP HANA Cloud migration readiness in the update.
B. Combine all evidence into one readiness status so the executive update is easier to read.
C. Delay cutover approval until SAP HANA Cloud carries the same freight reporting workload.
D. Treat cloud provisioning as proof that the migration stream is ready for reporting transition.

Answer: A

Explanation:
Feedback:
The update should separate current cutover readiness from SAP HANA Cloud migration readiness. The evidence supports different lifecycle decisions and should not be merged into one conclusion.

NEW QUESTION # 211
......

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