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  • Exam Code: CAU305日本語
  • Exam Name: CyberArk CDE Recertification (CAU305日本語版)
  • No. of Questions: 66 Questions and Answers
  • Updated: Sep 03, 2026

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The benefit in Obtaining the CAU305 Exam Certification

The recertification exam provides the practical knowledge and technical skills to securely design, install, and configure the CyberArk Privileged Access Security Solution. The candidates will gain valuable hands-on experience installing CyberArk components, configuring Authentication Types, and System Integrations (SIEM, SMTP, SNMP), using our step-by-step exercise guide, official product documentation and a dedicated lab environment.

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CAU305 Exam topics

Candidates must know the Defender + Sentry exam topics before they start of preparation because it will really help them in hitting the core. Our CAU-305 practice test and CAU-305 practice exams will include the following topics. These are covered in our CAU-305 exam dumps.

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

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

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

  • Verification and monitoring

  • Defining the CyberArk Privileged Account Security Solution Architecture

  • Leveraging pre-built ML models as a service

  • Conversational experiences (e.g., Dialogflow)

  • Use of edge compute

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

  • Designing for security and compliance

  • Ingesting appropriate data

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

  • Choosing between ACID, idempotent, eventually consistent requirements

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

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

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

  • Data staging, cataloging, and discovery

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

  • Securely Managing the System Architecture

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

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

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

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

  • Operationalizing machine learning models

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

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

  • Building and running test suites

  • Impact of dependencies of machine learning models

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

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

  • Measuring, monitoring, and troubleshooting machine learning models

  • What changes can be performed on statuses and transitions?

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

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

  • Distributed vs. single machine

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

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

  • Monitoring Privileged Account Access

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

  • What are the uses of Project Category in Jira?

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

  • Deploying an ML pipeline

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

  • Mapping to current and future business requirements

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

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

  • Data security (encryption, key management)

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

  • Ensuring scalability and efficiency

  • Resizing and autoscaling resources

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

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

  • Choosing the appropriate training and serving infrastructure

  • Pipeline monitoring (e.g., Stackdriver)

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

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

  • Target Hosts Using Privileged Session Manager

  • Ensuring reliability and fidelity

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

  • Ensuring flexibility and portability

  • What is the importance of the Browse Projects permission?

  • Continuous evaluation

  • 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?

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How to study the CAU305 Exam

Recertifications are an important part of maintaining credentials and status of the candidate. Practice exams and knowledge exam dumps are built to make students comfortable with the real exam environment. Actual4Labs expert team recommends you to prepare notes on these topics as you go along preparing with it and don't forget to practice CAU-305 practice exams and revise CAU-305 exam dumps.

CyberArk CAU305日本語 Exam Syllabus Topics:

SectionObjectives
Topic 1: Advanced Security and Use Cases- Privilege threat analytics overview
- Security best practices in PAS
- Session management and PSM usage
Topic 2: Operations and Maintenance- Upgrades and patch management
- Backup and restore procedures
- Monitoring and troubleshooting
Topic 3: Implementation and Configuration- Safe management and permissions
- Vault deployment and configuration
- Platform management and onboarding
Topic 4: Privileged Access Management Fundamentals- Core components (Vault, PVWA, CPM, PSM)
- CyberArk PAS architecture overview

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