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| Section | Weight | Objectives |
|---|---|---|
| Troubleshooting | 15% | - Identify slow performance and errors from backend systems - Utilize dashboards to identify performance issues - Capture snapshots and troubleshoot health rule violations |
| Collectors, Information Points, and Service Endpoints | 25% | - Define and configure data collectors - Analyze service endpoint metrics - Configure information points and service endpoints |
| Agents and Application Performance | 20% | - Determine application performance impact and scheduled reports - Monitor performance trends - Configure alerts and identify system performance metrics - Verify agent functionality, performance, and connectivity - Troubleshoot performance problems |
| Business Transactions | 20% | - Determine transaction scope and rule assignment - Manage discovery and analyze transaction metrics - Create and configure business transaction settings |
| Health Rules, Dashboards, and Snapshots | 20% | - Create and interpret dashboards - Create and configure health rules - Locate and analyze snapshots |
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NEW QUESTION # 74
Which option is a prerequisite for installing the AppDynamics Database Agent?
Answer: D
Explanation:
The database host must be reachable from the Database Agent host. The AppDynamics Database Agent normally runs as a standalone process and connects remotely to monitored database instances. Before installation and configuration, the agent host therefore requires network connectivity to each target database over the appropriate database listener port.
This prerequisite includes successful hostname or IP resolution, routing, firewall access, and permission for the agent host to establish a TCP connection to the database service. The Database Agent also requires valid monitoring credentials with the database-specific permissions needed to collect performance statistics, sessions, waits, queries, and other diagnostic data.
Reviewing frequently used primary keys is a database-design activity and is unrelated to agent installation.
Adjusting tcp_max_syn_backlog is an operating-system network-tuning task, not a standard Database Agent prerequisite. Dropping system-table keys would be unnecessary and potentially damaging; AppDynamics monitoring does not require destructive changes to database system objects.
Relevant CAAPA Study Guide topics include Database Visibility Architecture, Database Agent Deployment, Network Connectivity Requirements, Database Collector Configuration, Listener Ports, and Monitoring User Permissions.
NEW QUESTION # 75 
Refer to the exhibit. Using this heap utilization graph, which method is used to confirm if a memory leak is occurring during a certain time frame?
Answer: B
Explanation:
To confirm if a memory leak is occurring, one should refer to the Tiers and Nodes section of the AppDynamics Controller UI, navigate to the Memory tab, and observe the Heap Utilization over time in relation to the Heap ' s Current Usage (MB) versus the Maximum (MB) allocated. Consistent growth in heap utilization or an upward trend that does not decrement even after garbage collection indicates a potential memory leak.
References: AppDynamics documentation on Memory Leak Detection and Heap Analysis.
NEW QUESTION # 76
Which AppDynamics option will allow a Performance Analyst to compare and filter related servers using custom metadata within your environment?
Answer: D
Explanation:
Server Tagging in AppDynamics allows a Performance Analyst to compare and filter related servers by using custom metadata. This feature enables users to group and organize their servers based on criteria that make sense for their environment, such as role, location, environment type, or any other custom metadata.
References:
AppDynamics documentation on Server Tagging: https://docs.appdynamics.com/latest/en/infrastructure- visibility/infrastructure-visibility-settings/server-tags
NEW QUESTION # 77
Which two Key Performance Indicators (KPIs) accurately provide insight into server level resource consumption? (Choose two.)
Answer: B,C
Explanation:
Key Performance Indicators (KPIs) such as "CPU %Busy" and "Memory Used%" are critical for providing insights into server-level resource consumption. "CPU %Busy" indicates the percentage of time the CPU is actively working on processes, reflecting the server's processing workload. "Memory Used%" shows the proportion of memory utilized, indicating how much of the server's RAM is being consumed by applications and processes. These KPIs are essential for understanding and managing server performance and resource allocation.
References:
AppDynamics documentation on Server Monitoring: Includes information on monitoring server-level metrics, including CPU and memory utilization, to assess resource consumption.
NEW QUESTION # 78
Within the Application Dashboard, which two methods could a Performance Analyst use to quickly demonstrate that a slow backend is contributing to an application slowdown? (Choose two.)
Answer: B,D
Explanation:
The Application Flow - Grid View and Application Flow Map provide the fastest dashboard-level methods for demonstrating that a backend dependency is contributing to degraded application performance.
In Grid View, the analyst can locate the backend and review dependency-specific indicators such as average response time, calls per minute, errors, and calls made by upstream tiers. Comparing these values across relevant time ranges makes it straightforward to show that backend latency rose at the same time as application response time.
The Application Flow Map provides the same dependency context visually. Selecting the backend exposes its performance metrics and relationship to the calling tier, allowing the analyst to compare current behavior with an earlier timeframe or baseline and demonstrate the backend's contribution to end-to-end latency.
Top Business Transactions focuses primarily on transaction-level performance rather than direct backend comparison. Transaction Snapshots provide detailed evidence for individual executions, but they are less suitable for a rapid dashboard-level comparison across timeframes.
Relevant CAAPA topics include Application Dashboard, Flow Map Analysis, Grid View, Backend Performance, Dependency Response Time, and Time-Range Comparison.
NEW QUESTION # 79
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