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  • Exam Code: CAU305J
  • Exam Name: CyberArk CDE Recertification (CAU305日本語版)
  • , Last Updated: Jul 27, 2026
  • Q & A: 66 Questions and Answers
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  • Exam Code: CAU305J
  • Exam Name: CyberArk CDE Recertification (CAU305日本語版)
  • , Last Updated: Jul 27, 2026
  • Q & A: 66 Questions and Answers
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CAU305 Exam topics

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  • Leveraging pre-built ML models as a service

  • Ingesting appropriate data

  • Operationalizing machine learning models

  • Where are all the places you need to look to fully identify what permissions a particular user has?

  • Who can change a Project Key, and what are the effects on issues in the project?

  • What workflow changes can be done through the board by board administrators?

  • Hardware accelerators (e.g., GPU, TPU)

  • Which export options are available from the Issue Navigation? The following will be discussed here:

  • Continuous evaluation

  • Deploying an ML pipeline

  • Monitoring Privileged Account Access

  • When is it best to use components, and when is it best to use a custom field instead?

  • Machine learning terminology (e.g., features, labels, models, regression, classification, recommendation, supervised and unsupervised learning, evaluation metrics)

  • Choosing between ACID, idempotent, eventually consistent requirements

  • Ensuring reliability and fidelity

  • Mapping to current and future business requirements

  • Retraining of machine learning models (Cloud Machine Learning Engine, BigQuery ML, Kubeflow, Spark ML)

  • Customizing ML APIs (e.g., AutoML Vision, Auto ML text)

  • What is an Issue Collector and what permissions are needed to configure it?

  • What are the uses of Project Category in Jira?

  • Who can change the Simplified Workflow? What are the limitations on changes to the Simplified Workflow?

  • Planning, executing, and stress testing data recovery (fault tolerance, rerunning failed jobs, performing retrospective re-analysis)

  • Which business requirements necessitate the use of separate issue types in a project (e.g. different screens, workflows, etc.)?

  • Legal compliance (e.g., Health Insurance Portability and Accountability Act (HIPAA), Children's Online Privacy Protection Act (COPPA), FedRAMP, General Data Protection Regulation (GDPR))

  • Choosing the appropriate training and serving infrastructure

  • Assessing, troubleshooting, and improving data representations and data processing infrastructure

  • Designing for data and application portability (e.g., multi-cloud, data residency requirements)

  • What things may need to be updated as a result of workflow changes of any kind?

  • Verification and monitoring

  • Use of edge compute

  • Measuring, monitoring, and troubleshooting machine learning models

  • Ensuring scalability and efficiency

  • What types of workflow changes can Project Administrators make if Extended Project Administration is activated?

  • Building and running test suites

  • Impact of dependencies of machine learning models

  • Common sources of error (e.g., assumptions about data)

  • Performing data preparation and quality control (e.g., Cloud Dataprep)

  • Ensuring privacy (e.g., Data Loss Prevention API)

  • What are all the various factors that influence whether a field is visible on a screen?

  • Identity and access management (e.g.,Cloud IAM)

  • Securely Managing the System Architecture

  • Ensuring flexibility and portability

  • ML APIs (e.g., Vision API, Speech API)

  • Which configurations (schemes, versions, components, etc) are shared versus unique when new projects are (1) created from template or (2) with a shared configuration?

  • Designing for security and compliance

  • Defining the CyberArk Privileged Account Security Solution Architecture

  • How are valid JQL queries written? What operators and arguments are valid for various JQL functions (e.g. membersOf(), StartOfDay(), WAS, CHANGED, etc.)

  • What are the use cases where it is best to use Project Roles rather than Groups?

  • Which project details can be added and changed by Project Administrators?

  • Data security (encryption, key management)

  • What features are available for Jira Software projects, and to users who have Jira Software application access (as compared to just Jira Core)?

  • How do combinations of permissions work together to enable specific actions?

  • Target Hosts Using Privileged Session Manager

  • Resizing and autoscaling resources

  • Data staging, cataloging, and discovery

  • Conversational experiences (e.g., Dialogflow)

  • What is the importance of the Browse Projects permission?

  • What changes can be performed on statuses and transitions?

  • What are the features, uses, limitations/restrictions of workflow changes, especially the Simplified Workflow?

  • What is the relationship between screens, screen schemes and issue type screen schemes?

  • Distributed vs. single machine

  • What are the configuration options for all the out-of-box reports and gadgets (except Agile reports and gadgets)? What is their behavior and expected results?

  • Pipeline monitoring (e.g., Stackdriver)

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CyberArk CAU305日本語 Exam Syllabus Topics:

SectionObjectives
Privileged Session Management- Managing target host access
  • 1. Session isolation and recording
  • 2. PSM configuration
Authentication and Integrations- External integrations
  • 1. RADIUS integration
  • 2. SIEM integration
  • 3. SMTP integration
  • 4. SNMP integration
Privileged Account Monitoring- Monitoring privileged access
  • 1. Audit and compliance
  • 2. Reporting and alerting
Secure System Management- Managing PAS infrastructure
  • 1. System hardening and security
  • 2. Vault administration
Maintenance and Troubleshooting- Operational support
  • 1. Backup and recovery
  • 2. System troubleshooting
  • 3. Performance optimization
CyberArk Privileged Access Security Solution Architecture- Defining CyberArk PAS architecture
  • 1. Solution architecture design
  • 2. Core PAS components

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