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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Broker | 5% | - Broker troubleshooting - Broker setup and configuration |
| Topic 2: Command Line | 11% | - Composer Commands - Orchestration CLI (OCLI) - Conman Commands - Orchestration Query Language (OQL) |
| Topic 3: Configuration | 23% | - Setting Global Options - Dynamic Workload Console Advanced Settings - Dynamic Workload Console Control Limit - Agent Execution - Database Password - Global Settings using Security file - Dynamic Workload Console Customization - Global Settings on Job Streams - Database Connection Parameters |
| Topic 4: Installation | 21% | - Installing HWA components - Deploying Containers |
| Topic 5: Architecture | 9% | - Broker configuration - Dynamic Workload Console (DWC) - HWA architecture components - Server and agent communication |
| Topic 6: Security | 12% | - Certificate management - Security file management - SSL/TLS configuration - User roles and permissions |
| Topic 7: Agent Processes | 10% | - Agent configuration - Fault-tolerant agent operations - Agent management |
| Topic 8: Production Cycle | 6% | - Trial plan - Production plan management - Forecast plan - Current plan |
| Topic 9: Troubleshooting | 4% | - Performance tuning - Log analysis - Common error resolution - Connectivity issues |
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NEW QUESTION # 804
HCL HWA 10.2 workstation architecture shows batchman PlanBox.msg desync with MDM engine during symreq (5000 jobs); jobman Courier.msg launches fault-tolerant, netman stable. DWC reports "Plan out of sync". What selective reset synchronizes PlanBox.msg preserving jobman queue?
Answer: C
Explanation:
Workstation architecture PlanBox.msg desync during symreq requires batchman stop, evtsize PlanBox.msg 0 (force registry rebuild), startup cascades jobman continuation; preserves Courier.msg queue while resyncing engine. Selective reset maintains fault-tolerant execution during plan synchronization.
NEW QUESTION # 805
HCL HWA 10.2 Dynamic Scheduling architecture with 2000 rules fails 28% evaluation during Black Friday 5000 events/minute; single rule processor StatefulSet cpuThrottle 90%. DWC reports "Rule evaluation timeout". What horizontal scaling resolves capacity constraint?
Answer: C
Explanation:
Dynamic Scheduling StatefulSet wa-waruleprocessor scales horizontally via kubectl scale --replicas=6 creating pods [0-5] with independent PVC data-hwaruleprocessor-[0-5]; 2000 rules distribute across processors eliminating 28% timeout during 5000 events/minute. Direct kubectl scale preserves existing configuration versus helm upgrade recreation.
NEW QUESTION # 806
Scenario: In a HCL Workload Automation 10.2 production plan, a critical job stream "PROD_DAILY" on workstation "MDM" has multiple jobs in HOLD state due to resource dependencies, and you need to release specific jobs while adding a temporary priority without affecting successors. Which conman commands achieve this precisely? (Select three)
Answer: A,C
Explanation:
alter job;jobselect=MDM#PROD_DAILY(0800 01/07/2026).JOB1;priority=100 modifies the priority of a specific job instance in the plan to expedite its scheduling when dependencies are met. release job;jobselect=MDM#PROD_DAILY.JOB2;deps releases the selected job and all its predecessor dependencies in one operation, allowing progression without manual multi-step releases.
NEW QUESTION # 807
Dynamic Workload Broker list files TWS_home/broker/data/alloc_20260107_1400.lst show 2800 allocations but DWC reports 41% "Pending" due to incomplete snapshot merge. snapshotInterval=300s lags allocation rate. What list file consolidation prevents reporting gaps?
Answer: C
Explanation:
snapshotInterval=10;mergeInterval=30 captures 2800 allocations/sec with 30s consolidation to DWC eliminating 41% Pending; JSON format enables efficient merge vs LST text parsing overhead maintaining Dynamic Workload Broker real-time reporting accuracy during high-velocity allocation bursts.
NEW QUESTION # 808
In Dynamic Workload Console, to prevent users from overloading the system with broad queries, an administrator sets a strict control limit. Which impact does a low query result limit have?
Answer: B
Explanation:
Explanation: Lowering the maximum objects returned forces users to apply more precise filters in queries, reducing server load and improving overall console responsiveness in large-scale environments.
NEW QUESTION # 809
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