Lesson 1: Deep Dive into Expert Debugging Methodologies
1.1. Structured Problem Determination Frameworks
1.2. Hypothesis-Driven Debugging in Complex Systems
1.3. Advanced Isolation Techniques for Intermittent Issues
1.4. Utilizing the Scientific Method in Debugging
1.5. Time-Travel Debugging Concepts and Applications
1.6. Debugging in Highly Optimized Code
1.7. Strategies for Debugging Without Source Code
1.8. Collaborative Debugging Techniques for Expert Teams
1.9. Documenting Complex Debugging Sessions
1.10. Continuous Learning and Adaptation in Debugging
Lesson 2: Advanced Debugger Features and Configuration
2.1. Conditional Breakpoints with Complex Expressions
2.2. Hit Counts and Logging Breakpoints for Non-Interactive Analysis
2.3. Watchpoints for Monitoring Memory and Variables
2.4. Data Breakpoints and their Advanced Usage
2.5. Configuring and Utilizing Debugger Profiles Effectively
2.6. Scripting Debugger Actions for Automation
2.7. Extending Debugger Functionality with Plugins/APIs
2.8. Remote Debugging Configurations and Troubleshooting
2.9. Debugging Optimized Code with Debug Information
2.10. Leveraging Debugger for Code Coverage Analysis
Lesson 3: Mastering Advanced Log Analysis
3.1. Centralized Log Management and Analysis Platforms
3.2. Correlating Logs Across Distributed IBM Components
3.3. Utilizing Regular Expressions for Advanced Log Filtering
3.4. Identifying Anomalies and Patterns in High-Volume Logs
3.5. Integrating Debugger Output with Log Analysis Tools
3.6. Automated Log Analysis for Proactive Issue Detection
3.7. Analyzing Binary and Structured Log Formats
3.8. Performance Impact of Verbose Logging Levels
3.9. Secure Handling and Redaction of Sensitive Information in Logs
3.10. Building Custom Parsers for Application-Specific Logs
Lesson 4: Advanced Monitoring Tools for Debugging
4.1. Integrating APM Tools (e.g., Instana, ITCAM) with Debugging
4.2. Transaction Tracing and its Role in Root Cause Analysis
4.3. Analyzing Metrics for Identifying Performance Bottlenecks
4.4. Setting Up Custom Monitoring Dashboards for Debugging Focus
4.5. Utilizing Synthetic Transactions for Proactive Monitoring and Debugging
4.6. Analyzing Resource Utilization (CPU, Memory, Network, Disk) in Detail
4.7. Correlating Monitoring Data with Application Logs
4.8. Alerting Strategies for Triggering Debugging Sessions
4.9. Predictive Analytics for Identifying Potential Issues Early
4.10. Capacity Planning Informed by Monitoring Data
Module 2: Debugging IBM Middleware and Platforms
Lesson 5: Expert Debugging of IBM z/OS Applications (COBOL, PL/I, Assembler)
5.1. Advanced Techniques with IBM z/OS Debugger
5.2. Debugging Batch and Online (CICS/IMS) z/OS Applications
5.3. Using Source Level Debugging for Compiled Languages
5.4. Debugging Optimized COBOL and PL/I Code
5.5. Advanced Assembler Debugging Techniques
5.6. Utilizing Program Temporary Fixes (PTFs) in Debugging
5.7. Debugging in a Shared Data Environment (e.g., VSAM, DB2)
5.8. Analyzing Abend Codes and System Dumps (SVC/ transacci?n)
5.9. Integrating z/OS Debugger with Modern IDEs (IBM Developer for z/OS)
5.10. Performance Considerations during z/OS Debugging
Lesson 6: Advanced CICS Application Debugging
6.1. Debugging CICS Programs (COBOL, PL/I, Java, C/C++)
6.2. Utilizing the CICS Execution Diagnostic Facility (CEDF) – Advanced Features
6.3. Debugging CICS Web Services and URIMAP Issues
6.4. Analyzing CICS Transaction Dumps for Root Cause
6.5. Debugging CICS Intercommunication (ISC, MRO) Problems
6.6. Handling CICS Storage Violations and Debugging Techniques
6.7. Debugging CICS DB2 and MQ Interactions
6.8. Performance Debugging of CICS Applications
6.9. Utilizing CICS Monitoring Tools for Debugging Insights
6.10. Debugging Pseudo-Conversational CICS Applications
Lesson 7: Expert Debugging of IBM MQ Applications
7.1. Debugging MQ Applications (Java, C, COBOL, etc.)
7.2. Analyzing MQ Error Logs and Trace Files (FFST)
7.3. Debugging Message Flow and Routing Issues
7.4. Utilizing MQ Monitoring Tools (MQ Explorer, Command zweigstelle)
7.5. Debugging MQ Security Exits and Channel Exits
7.6. Analyzing MQ Queue Manager Dumps
7.7. Debugging Publish/Subscribe Applications
7.8. Handling Poison Messages and Backout Queues
7.9. Performance Debugging of MQ Applications
7.10. Debugging MQ in a Clustered Environment
Lesson 8: Deep Dive into IBM DB2 Application Debugging
8.1. Debugging DB2 Stored Procedures (SQL PL, Java, C)
8.2. Analyzing DB2 Explain Plans for Performance Issues
8.3. Utilizing DB2 Monitoring Tools (db2top, Control Center)
8.4. Debugging DB2 Deadlocks and Lock Contention
8.5. Analyzing DB2 Diagnostic Logs (db2diag.log)
8.6. Debugging DB2 Federated Queries
8.7. Handling Data Conversion Errors in DB2 Applications
8.8. Performance Debugging of DB2 SQL Statements
8.9. Debugging DB2 Utilities and Commands
8.10. Debugging DB2 in a Data Sharing Environment
Lesson 9: Expert Debugging of IBM WebSphere Application Server Applications
9.1. Debugging Java Applications in WebSphere (Traditional and Liberty)
9.2. Utilizing the Integrated Solutions Console (ISC) for Debugging
9.3. Analyzing WebSphere JVM Logs and Traces
9.4. Debugging Classloading Issues in WebSphere
9.5. Handling Memory Leaks in WebSphere Applications
9.6. Debugging Threading Issues and Hung Threads
9.7. Performance Debugging of WebSphere Applications
9.8. Utilizing WebSphere Monitoring Tools (Performance Viewer, Health Center)
9.9. Debugging Web Services and REST APIs in WebSphere
9.10. Debugging WebSphere in a Clustered Environment
Lesson 10: Advanced Java Debugging in IBM Environments (Liberty, OpenJ9)
10.1. Utilizing the Java Debugger (JDWP) with IBM JVMs
10.2. Advanced Breakpoint Techniques in Java Debugging
10.3. Debugging Multi-Threaded Java Applications
10.4. Analyzing Java Heap Dumps for Memory Issues
10.5. Utilizing Java Monitoring and Management Console (JConsole, VisualVM)
10.6. Debugging Java Native Interface (JNI) Code
10.7. Performance Debugging of Java Code (Profiling)
10.8. Debugging Asynchronous Java Applications
10.9. Debugging Java Security Exceptions and Access Control Issues
10.10. Debugging Java in Containerized Environments (Docker, Kubernetes)
Lesson 11: Debugging IBM Integration Bus / App Connect Enterprise
11.1. Utilizing the IBM Integration Toolkit Debugger
11.2. Debugging Message Flows and Transformations (ESQL, Java, Mapping)
11.3. Analyzing Integration Node/Server Logs and Traces
11.4. Debugging Connectivity Issues with Endpoints
11.5. Handling Message Processing Errors and Exceptions
11.6. Performance Debugging of Message Flows
11.7. Utilizing Monitoring for Integration Nodes/Servers
11.8. Debugging Security Configurations and Policies
11.9. Debugging in a Highly Available Integration Environment
11.10. Debugging with Connectors and Adapters
Lesson 12: Debugging IBM Business Process Management (BPM) Applications
12.1. Utilizing the BPM Process Inspector for Debugging
12.2. Debugging Business Process Definitions (BPDs) and Services
12.3. Analyzing BPM Server Logs and Traces
12.4. Debugging Human Services and Coaches
12.5. Handling Data Mapping and Variable Issues
12.6. Performance Debugging of BPM Processes
12.7. Utilizing BPM Monitoring Tools
12.8. Debugging Integration with External Systems
12.9. Debugging Business Rules in BPM
12.10. Debugging BPM in a Clustered Environment
Module 3: Advanced Debugging Scenarios and Tooling
Lesson 13: Memory Leak Detection and Analysis (Expert Level)
13.1. Understanding Different Types of Memory Leaks
13.2. Utilizing Heap Analyzers (e.g., Eclipse Memory Analyzer Tool – MAT)
13.3. Capturing and Analyzing Heap Dumps in Production
13.4. Identifying Leaking Objects and their Reference Paths
13.5. Automating Memory Leak Detection
13.6. Debugging Native Memory Leaks
13.7. Performance Impact of Memory Leaks
13.8. Strategies for Preventing Memory Leaks
13.9. Analyzing Memory Usage Patterns Over Time
13.10. Debugging Memory Issues in Containerized Applications
Lesson 14: Debugging Multi-Threaded and Concurrent Applications (Advanced)
14.1. Identifying and Debugging Deadlocks
14.2. Detecting and Resolving Race Conditions
14.3. Utilizing Thread Analyzers for Concurrency Issues
14.4. Debugging Asynchronous Operations
14.5. Handling Synchronization Problems
14.6. Performance Debugging of Concurrent Code
14.7. Debugging Thread Pools and Task Execution
14.8. Visualizing Thread Activity and States
14.9. Debugging Concurrent Issues in Distributed Systems
14.10. Tools and Techniques for Stress Testing Concurrent Applications
Lesson 15: Root Cause Analysis Techniques for Complex Issues
15.1. Applying Ishikawa (Fishbone) Diagrams to Debugging
15.2. Utilizing the 5 Whys Technique for Deeper Analysis
15.3. Fault Tree Analysis for Systemic Issues
15.4. Event Chain Methodology for Incident Analysis
15.5. Creating Timelines of Events Leading to an Issue
15.6. Developing and Testing Hypotheses Systematically
15.7. Learning from Past Incidents and Building a Knowledge Base
15.8. Communicating Root Cause Analysis Findings Effectively
15.9. Proactive Root Cause Analysis to Prevent Future Issues
15.10. Utilizing AI and Machine Learning in Root Cause Analysis
Lesson 16: Automation in IBM Application Debugging
16.1. Scripting Debugger Interactions for Repetitive Tasks
16.2. Integrating Debugging into Continuous Integration (CI) Pipelines
16.3. Automated Triage of Production Incidents
16.4. Building Self-Healing Applications with Debugging Hooks
16.5. Automating Log and Metric Collection for Debugging
16.6. Utilizing Chatbots and AI for Debugging Assistance
16.7. Implementing Automated Regression Testing for Bug Verification
16.8. Orchestrating Debugging Sessions in Complex Environments
16.9. Security Considerations in Automated Debugging
16.10. Measuring the Effectiveness of Debugging Automation
Lesson 17: Security Considerations in IBM Application Debugging (Advanced)
17.1. Debugging Security Vulnerabilities (e.g., Injection Attacks, XSS)
17.2. Secure Handling of Sensitive Data During Debugging
17.3. Debugging Authentication and Authorization Issues
17.4. Identifying and Debugging Cryptographic Errors
17.5. Utilizing Security Scanning Tools in the Debugging Process
17.6. Debugging Secure Communication (SSL/TLS) Problems
17.7. Auditing Debugging Activities for Security Compliance
17.8. Debugging in a Multi-Tenant Secure Environment
17.9. Understanding and Mitigating Debugger-Related Security Risks
17.10. Securely Sharing Debugging Information
Lesson 18: Debugging in IBM Cloud Environments (Advanced)
18.1. Debugging Applications in IBM Cloud Kubernetes Service (IKS)
18.2. Utilizing Logging and Monitoring Services in IBM Cloud
18.3. Debugging Serverless Applications (Cloud Functions)
18.4. Debugging Applications Running in Virtual Private Cloud (VPC)
18.5. Troubleshooting Connectivity Issues in the Cloud
18.6. Debugging Applications Utilizing Cloud Databases (Db2 on Cloud, etc.)
18.7. Debugging Applications Using Cloud Storage (COS)
18.8. Performance Debugging of Cloud-Native Applications
18.9. Debugging Microservices in IBM Cloud
18.10. Utilizing IBM Cloud Tools for Debugging and Troubleshooting
Lesson 19: Performance Tuning Through Debugging
19.1. Identifying Performance Bottlenecks Using Debugging Tools
19.2. Profiling Application Performance During Debugging
19.3. Analyzing CPU and Memory Usage for Performance Issues
19.4. Debugging Database Performance Problems from the Application Side
19.5. Identifying and Debugging Network Latency Issues
19.6. Optimizing Code Hot Spots Identified During Debugging
19.7. Utilizing Performance Monitoring Data to Guide Debugging
19.8. Debugging Caching andndezvous Issues
19.9. Performance Testing and Debugging Methodology
19.10. Continuous Performance Monitoring and Debugging
Lesson 20: Advanced Dump Analysis Techniques
20.1. Analyzing System Dumps (SVC, Standalone)
20.2. Analyzing Java Heap Dumps and Thread Dumps
20.3. Utilizing IBM Dump Analysis Tools (e.g., IPCS, Extensions)
20.4. Identifying Control Block Corruption
20.5. Analyzing Program State from a Dump
20.6. Correlating Dump Data with Logs and Monitoring
20.7. Debugging Issues That Only Appear in Dumps
20.8. Automated Dump Analysis
20.9. Security Considerations in Dump Analysis
20.10. Analyzing Dumps from Different IBM Platforms
Module 4: Debugging Specific IBM Applications and Services
Lesson 21: Debugging IBM UrbanCode Deploy Issues
21.1. Debugging Deployment Process Failures
21.2. Analyzing UrbanCode Deploy Logs and History
21.3. Troubleshooting Agent Connectivity Issues
21.4. Debugging Plugin Execution Problems
21.5. Handling Inventory and Configuration Issues
21.6. Debugging Integrations with Other Tools
21.7. Performance Debugging of Deployments
21.8. Debugging Security and Permission Problems
21.9. Utilizing UrbanCode Deploy APIs for Debugging Information
21.10. Best Practices for Designing Debuggable Deployment Processes
Lesson 22: Debugging IBM DataPower Services (Advanced)
22.1. Utilizing the DataPower Debugger
22.2. Debugging XML and JSON Processing Policies
22.3. Analyzing DataPower Logs and Probes
2.4. Troubleshooting Service Connectivity and Protocol Issues
22.5. Debugging Security Configurations (TLS, AAA)
22.6. Performance Debugging of DataPower Services
22.7. Debugging XSLT and GatewayScript Transformations
22.8. Handling Error Handling and Exception Mapping
22.9. Debugging in a DataPower Appliance Cluster
22.10. Utilizing SNMP and Monitoring Tools for DataPower
Lesson 23: Debugging IBM Operational Decision Manager (ODM)
23.1. Debugging Business Rules and Decision Services
23.2. Utilizing the Rule Execution Server Console for Monitoring and Debugging
23.3. Analyzing ODM Logs and Traces
23.4. Debugging Rule Flow and Execution Path Issues
23.5. Handling Data Mapping and Variable Issues in Rules
23.6. Performance Debugging of Decision Services
23.7. Debugging Integration with Calling Applications
23.8. Debugging Decision Table and Decision Tree Logic
23.9. Versioning and Deployment Debugging
23.10. Debugging ODM in a Clustered Environment
Lesson 24: Debugging IBM Cognos Reports and Applications
24.1. Debugging Report Execution Issues
24.2. Analyzing Cognos Logs and Traces
24.3. Troubleshooting Data Source Connectivity Problems
24.4. Debugging Data Modeling Issues
24.5. Handling Performance Issues in Reports
24.6. Debugging Security and Access Control in Cognos
24.7. Debugging Bursting and Delivery Problems
24.8. Utilizing Cognos Administration Tools for Monitoring
24.9. Debugging SDK Applications Interacting with Cognos
24.10. Debugging Upgrades and Migration Issues
Lesson 25: Debugging IBM FileNet Applications (Advanced)
25.1. Debugging Workflow and Process Engine Issues
25.2. Analyzing FileNet Logs and Traces
25.3. Troubleshooting Content Engine and Data Store Problems
25.4. Debugging Security and Permissions Issues
25.5. Handling API and Integration Errors
25.6. Performance Debugging of FileNet Applications
25.7. Debugging Search and Indexing Issues
25.8. Utilizing FileNet System Monitoring Tools
25.9. Debugging Customizations and Extensions
25.10. Debugging FileNet in a Distributed Environment
Lesson 26: Debugging IBM Emptoris Applications
26.1. Debugging Configuration and Setup Issues
26.2. Analyzing Emptoris Application Logs
26.3. Troubleshooting Integration with External Systems
26.4. Debugging Workflow and Approval Processes
26.5. Handling Data Import and Export Errors
26.6. Performance Debugging of Emptoris Modules
26.7. Debugging Reporting and Analytics Issues
26.8. Debugging User Interface Problems
26.9. Debugging Upgrade and Patching Issues
26.10. Utilizing Emptoris Support Tools for Diagnostics
Lesson 27: Debugging IBM TRIRIGA Applications
27.1. Debugging Workflow and State Transition Issues
27.2. Analyzing TRIRIGA Server Logs and Object History
27.3. Troubleshooting Database Connectivity and Performance
27.4. Debugging Integrations and Data Connectors
27.5. Handling Form and UI Rendering Problems
27.6. Performance Debugging of TRIRIGA Modules
27.7. Debugging Reporting and Query Issues
27.8. Debugging Security and Permissions
27.9. Debugging Customizations and Business Rules
27.10. Utilizing TRIRIGA System Tools for Monitoring and Diagnostics
Lesson 28: Debugging IBM Sterling B2B Integrator
28.1. Debugging Business Process Execution
28.2. Analyzing Sterling B2B Integrator Logs and Service Monitor
28.3. Troubleshooting Protocol and Communication Errors
28.4. Debugging Mapping and Transformation Issues
28.5. Handling Partner and Trading Partner Configuration Problems
28.6. Performance Debugging of Business Processes
28.7. Debugging Security and Certificate Issues
28.8. Debugging Adapters and Connectors
28.9. Debugging Database Interactions
28.10. Utilizing Sterling B2B Integrator Monitoring Tools
Lesson 29: Debugging IBM Order Management
29.1. Debugging Order Flow and Process Issues
29.2. Analyzing Order Management System Logs and Traces
29.3. Troubleshooting API and Integration Problems
29.4. Debugging Sterling Configurator and Pricing Issues
29.5. Handling Inventory and Fulfillment Errors
29.6. Performance Debugging of Order Processing
29.7. Debugging User Interface and Web Store Issues
29.8. Debugging Database Interactions and Performance
29.9. Debugging Customizations and Extensions
29.10. Utilizing Order Management Monitoring Tools
Lesson 30: Debugging IBM Planning Analytics (TM1)
30.1. Debugging TurboIntegrator Processes
30.2. Analyzing TM1 Server Logs and Message Log
30.3. Troubleshooting Data Loading and Cube Update Issues
30.4. Debugging Rules and Calculations
30.5. Handling Performance Issues in Cubes and Views
30.6. Debugging Security and Access Rights
30.7. Debugging Excel and Web Client Connectivity
30.8. Debugging Choreographies and Scheduling Problems
30.9. Debugging Ti.data and Ti.cellputn/s Functions
30.10. Utilizing Performance Monitor and Sandbox for Debugging
Lesson 31: Debugging IBM Control-M Workflows
31.1. Debugging Job Execution Failures
31.2. Analyzing Control-M Logs (Job Logs, Agent Logs)
31.3. Troubleshooting Agent and Server Connectivity
31.4. Debugging Job Dependencies and Scheduling Issues
31.5. Handling Variable and Parameter Problems
31.6. Performance Debugging of Workflows
31.7. Debugging File Transfer and Messaging Jobs
31.8. Debugging Security and Authentication Issues
31.9. Debugging Integration with Applications
31.10. Utilizing Control-M Monitoring and Alerting
Lesson 32: Debugging IBM Workload Scheduler
32.1. Debugging Job Stream and Job Execution Errors
32.2. Analyzing Workload Scheduler Logs and Trace Files
32.3. Troubleshooting Agent and Master Domain Manager Communication
32.4. Debugging Dependencies and Production Plan Issues
32.5. Handling Variable Table and Prompt Problems
32.6. Performance Debugging of Workload Schedules
32.7. Debugging File Transfer and Command Jobs
32.8. Debugging Security and Authorization Issues
32.9. Debugging Integration with Applications and Databases
32.10. Utilizing Workload Scheduler Monitoring Tools
Lesson 33: Debugging IBM Security Identity Manager / Verify
33.1. Debugging User Provisioning and De-provisioning Issues
33.2. Analyzing Identity Manager / Verify Logs and Trace
33.3. Troubleshooting Adapter and Connector Problems
33.4. Debugging Workflow and Policy Enforcement
33.5. Handling Reconciliation and Synchronization Errors
33.6. Performance Debugging of Identity Management Operations
33.7. Debugging Security and Access Control Lists (ACLs)
33.8. Debugging Reporting and Audit Trail Issues
33.9. Debugging Customizations and Extensions
33.10. Utilizing Identity Manager / Verify Monitoring Tools
Lesson 34: Debugging IBM QRadar Applications
34.1. Debugging App Installation and Configuration Issues
34.2. Analyzing QRadar App Logs and Docker Container Logs
34.3. Troubleshooting Connectivity with QRadar API and Services
34.4. Debugging Data Retrieval and Processing in Apps
34.5. Handling User Interface and Dashboard Problems
34.6. Performance Debugging of QRadar Apps
34.7. Debugging Security Context and Permissions
34.8. Debugging Integrations with External Threat Feeds
34.9. Debugging App Updates and Versioning
34.10. Utilizing QRadar Troubleshooting Tools and Documentation
Module 5: Advanced Debugging Practices and Future Trends
Lesson 35: Debugging in Microservices Architectures on IBM Cloud
35.1. Distributed Tracing for Microservices Debugging
35.2. Centralized Logging for Microservices
35.3. Debugging API Gateway and Service Mesh Issues
35.4. Handling Inter-Service Communication Errors
35.5. Debugging Event-Driven Microservices
35.6. Performance Debugging in a Distributed Environment
35.7. Debugging State Management Issues
35.8. Utilizing Cloud-Native Debugging Tools
35.9. Debugging in a Serverless Microservices Architecture
35.10. Strategies for Chaos Engineering and Debugging
Lesson 36: Debugging with AI and Machine Learning
36.1. AI for Log Anomaly Detection
36.2. Machine Learning for Predicting Application Issues
36.3. Utilizing AI-Powered Root Cause Analysis Tools
36.4. Chatbots and Virtual Assistants for Debugging Support
36.5. Automating Debugger Actions Using AI
36.6. Analyzing Historical Debugging Data with ML
36.7. Identifying Code Smells Related to Debugging Difficulty
36.8. Predictive Debugging Based on Usage Patterns
36.9. Ethical Considerations in AI-Powered Debugging
36.10. Future Trends in AI for Debugging
Lesson 37: Debugging Blockchain Applications on IBM Blockchain Platform
37.1. Debugging Smart Contracts (Chaincode)
37.2. Analyzing Hyperledger Fabric Logs
37.3. Troubleshooting Network and Consensus Issues
37.4. Debugging Chaincode Instantiation and Upgrade Problems
37.5. Handling Transaction Submission and Endorsement Errors
37.6. Performance Debugging of Blockchain Applications
37.7. Debugging Security and Access Control on the Network
37.8. Utilizing Blockchain Explorers for Debugging
37.9. Debugging Integration with Off-Chain Applications
37.10. Debugging in a Multi-Organization Network
Lesson 38: Debugging IoT Solutions on IBM Watson IoT Platform
38.1. Debugging Device Connectivity and Messaging Issues
38.2. Analyzing Watson IoT Platform Logs and Diagnostics
38.3. Troubleshooting Rule and Action Execution
38.4. Debugging Edge Agent and Gateway Problems
38.5. Handling Data Ingestion and Processing Errors
38.6. Performance Debugging of IoT Solutions
38.7. Debugging Security and Authentication for Devices
38.8. Debugging Integration with Cloud Services
38.9. Debugging Device Management Issues
38.10. Utilizing Watson IoT Platform Monitoring Tools
Lesson 39: Debugging Data Science and AI/ML Applications on IBM Cloud Pak for Data
39.1. Debugging Notebooks and Model Training Code
39.2. Analyzing Watson Studio and Execution Engine Logs
39.3. Troubleshooting Data Connectivity and Access Issues
39.4. Debugging Model Deployment and Scoring Problems
39.5. Handling Data Transformation and Feature Engineering Errors
39.6. Performance Debugging of Data Pipelines
39.7. Debugging Security and Access Control for Data and Models
39.8. Debugging Watson Machine Learning and OpenScale
39.9. Debugging Data Virtualization Issues
39.10. Utilizing Cloud Pak for Data Monitoring and Logging
Lesson 40: Capstone: Advanced Debugging Simulation and Case Studies
40.1. Simulating Complex, Real-World IBM Application Issues
40.2. Applying Learned Techniques in Hands-on Debugging Scenarios
40.3. Analyzing and Debugging Provided Case Studies
4.4. Practicing Root Cause Analysis on Simulated Incidents
40.5. Utilizing a Combination of Tools and Techniques for Diagnosis
40.6. Collaborative Debugging Exercise
40.7. Time-Constrained Debugging Challenges
40.8. Presenting Debugging Findings and Solutions
40.9. Peer Review of Debugging Approaches
40.10. Continuous Improvement in Debugging Practices based on Simulation Results
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