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Instant Download CyberArk : CAU305日本語 Questions & Answers as PDF & Test Engine

CAU305日本語
  • Exam Code: CAU305
  • Exam Name: CyberArk CDE Recertification (CAU305日本語版)
  • Updated: Jul 14, 2026
  • No. of Questions: 66 Questions and Answers
  • Download Limit: Unlimited
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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.

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

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

  • Ensuring scalability and efficiency

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

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

  • What changes can be performed on statuses and transitions?

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

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

  • Operationalizing machine learning models

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

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

  • Leveraging pre-built ML models as a service

  • Choosing between ACID, idempotent, eventually consistent requirements

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

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

  • Resizing and autoscaling resources

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

  • Monitoring Privileged Account Access

  • Verification and monitoring

  • Deploying an ML pipeline

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

  • Target Hosts Using Privileged Session Manager

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

  • Conversational experiences (e.g., Dialogflow)

  • Defining the CyberArk Privileged Account Security Solution Architecture

  • Ensuring reliability and fidelity

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

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

  • Use of edge compute

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

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

  • Building and running test suites

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

  • Ingesting appropriate data

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

  • Data security (encryption, key management)

  • Impact of dependencies of machine learning models

  • 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?

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

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

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

  • Pipeline monitoring (e.g., Stackdriver)

  • Distributed vs. single machine

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

  • Securely Managing the System Architecture

  • Choosing the appropriate training and serving infrastructure

  • Designing for security and compliance

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

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

  • Ensuring flexibility and portability

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

  • What are the uses of Project Category in Jira?

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

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

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

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

  • Data staging, cataloging, and discovery

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

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

  • Measuring, monitoring, and troubleshooting machine learning models

  • What is the importance of the Browse Projects permission?

  • Continuous evaluation

  • Mapping to current and future business requirements

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CyberArk CAU305 Exam Reference

Certification Path

If your CDE certificate is expiring then CyberArk CDE recertification is the way to continue having the credentials.

How much CAU305 Exam Cost

The price of the CAU305 exam is $200 USD.

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