Who should take the CAU-401 exam

CAU-401 is for customers who administer EPM and partners who implement the EPM Solution. The CyberArk CDE certification is valid for 18 months so it can be for people who want to improve their long term career goals.

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CAU-401 Exam topics

Candidates must know the EPM topics before they start of preparation because it will really help them solving the problems. Our CAU-401 practice test and CAU-305 practice exams will include the following topics. These are covered in our CAU-305 exam dumps.

• When is it best to use components, and when is it best to use a custom field instead?
• 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?
• Designing for security and compliance
• What are the features, uses, limitations/restrictions of workflow changes, especially the Simplified Workflow?
• Ensuring flexibility and portability
• Data security (encryption, key management)
• Retrieve logs and perform simple troubleshooting tasks
• Who can change a Project Key, and what are the effects on issues in the project?
• Configure ransomware and threat protection
• Pipeline monitoring (e.g., Stackdriver)
• Data staging, cataloging, and discovery
• 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))
• Common sources of error (e.g., assumptions about data)
• Resizing and autoscaling resources
• Ensuring reliability and fidelity
• Describe implementation and roll-out best practices
• What is an Issue Collector and what permissions are needed to configure it?
• Deploying an ML pipeline
• What changes can be performed on statuses and transitions?
• Securely Managing the System Architecture
• Retraining of machine learning models (Cloud Machine Learning Engine, BigQuery ML, Kubeflow, Spark ML)
• Use of edge compute
• How do combinations of permissions work together to enable specific actions?
• Target Hosts Using Privileged Session Manager
• Which project details can be added and changed by Project Administrators?
• Deploy and upgrade the EPM Agent
• Mapping to current and future business requirements
• What are all the various factors that influence whether a field is visible on a screen?
• Ingesting appropriate data
• Monitoring Privileged Account Access
• Where are all the places you need to look to fully identify what permissions a particular user has?
• What are the use cases where it is best to use Project Roles rather than Groups?
• Verification and monitoring
• Operationalizing machine learning models
• Machine learning terminology (e.g., features, labels, models, regression, classification, recommendation, supervised and unsupervised learning, evaluation metrics)
• Which export options are available from the Issue Navigation?
• What are the uses of Project Category in Jira?
• Ensuring privacy (e.g., Data Loss Prevention API)
• Hardware accelerators (e.g., GPU, TPU)
• Planning, executing, and stress testing data recovery (fault tolerance, rerunning failed jobs, performing retrospective re-analysis)
• Defining the CyberArk Privileged Account Security Solution Architecture
• Customizing ML APIs (e.g., AutoML Vision, Auto ML text)
• What features are available for Jira Software projects, and to users who have Jira Software application access (as compared to just Jira Core)?
• 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 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?
• Measuring, monitoring, and troubleshooting machine learning models
• Who can change the Simplified Workflow? What are the limitations on changes to the Simplified Workflow?
• Choosing between ACID, idempotent, eventually consistent requirements
• Leveraging pre-built ML models as a service
• Choosing the appropriate training and serving infrastructure
• Describe the EPM solution and architecture
• How are valid JQL queries written? What operators and arguments are valid for various JQL functions (e.g. membersOf(), StartOfDay(), WAS, CHANGED, etc.)
• Distributed vs. single machine
• Performing data preparation and quality control (e.g., Cloud Dataprep)
• Ensuring scalability and efficiency
• Building and running test suites
• ML APIs (e.g., Vision API, Speech API)
• Assessing, troubleshooting, and improving data representations and data processing infrastructure
• Impact of dependencies of machine learning models
• Conversational experiences (e.g., Dialogflow)
• What is the relationship between screens, screen schemes and issue type screen schemes?
• What is the importance of the Browse Projects permission?
• What types of workflow changes can Project Administrators make if Extended Project Administration is activated?
• Identity and access management (e.g.,Cloud IAM)
• Continuous evaluation
• What workflow changes can be done through the board by board administrators?

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How to study the CAU-401 Exam

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Reference: https://training.cyberark.com/instructor-led-training/cyberark-end-point-manager

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