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.
- Performing data preparation and quality control (e.g., Cloud Dataprep)
- Operationalizing machine learning models
- Identity and access management (e.g.,Cloud IAM)
- 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?
- Machine learning terminology (e.g., features, labels, models, regression, classification, recommendation, supervised and unsupervised learning, evaluation metrics)
- Choosing between ACID, idempotent, eventually consistent requirements
- Data security (encryption, key management)
- 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)
- Continuous evaluation
- Distributed vs. single machine
- What features are available for Jira Software projects, and to users who have Jira Software application access (as compared to just Jira Core)?
- Who can change a Project Key, and what are the effects on issues in the project?
- Ensuring scalability and efficiency
- Describe implementation and roll-out best practices
- Who can change the Simplified Workflow? What are the limitations on changes to the Simplified Workflow?
- Designing for security and compliance
- Use of edge compute
- What is the relationship between screens, screen schemes and issue type screen schemes?
- Retrieve logs and perform simple troubleshooting tasks
- Deploy and upgrade the EPM Agent
- What changes can be performed on statuses and transitions?
- Retraining of machine learning models (Cloud Machine Learning Engine, BigQuery ML, Kubeflow, Spark ML)
- Deploying an ML pipeline
- Monitoring Privileged Account Access
- Which project details can be added and changed by Project Administrators?
- Conversational experiences (e.g., Dialogflow)
- How do combinations of permissions work together to enable specific actions?
- Which export options are available from the Issue Navigation?
- Ensuring flexibility and portability
- 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?
- Common sources of error (e.g., assumptions about data)
- What things may need to be updated as a result of workflow changes of any kind?
- Configure ransomware and threat protection
- Which business requirements necessitate the use of separate issue types in a project (e.g. different screens, workflows, etc.)?
- Choosing the appropriate training and serving infrastructure
- ML APIs (e.g., Vision API, Speech API)
- Securely Managing the System Architecture
- Verification and monitoring
- What is the importance of the Browse Projects permission?
- What is an Issue Collector and what permissions are needed to configure it?
- Ingesting appropriate data
- Describe the EPM solution and architecture
- Planning, executing, and stress testing data recovery (fault tolerance, rerunning failed jobs, performing retrospective re-analysis)
- Resizing and autoscaling resources
- Hardware accelerators (e.g., GPU, TPU)
- 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 workflow changes can be done through the board by board administrators?
- Building and running test suites
- Pipeline monitoring (e.g., Stackdriver)
- Assessing, troubleshooting, and improving data representations and data processing infrastructure
- Data staging, cataloging, and discovery
- What types of workflow changes can Project Administrators make if Extended Project Administration is activated?
- Impact of dependencies of machine learning models
- What are all the various factors that influence whether a field is visible on a screen?
- Customizing ML APIs (e.g., AutoML Vision, Auto ML text)
- Where are all the places you need to look to fully identify what permissions a particular user has?
- Leveraging pre-built ML models as a service
- Target Hosts Using Privileged Session Manager
- Measuring, monitoring, and troubleshooting machine learning models
- What are the uses of Project Category in Jira?
- Ensuring privacy (e.g., Data Loss Prevention API)
- Mapping to current and future business requirements
- What are the features, uses, limitations/restrictions of workflow changes, especially the Simplified Workflow?
- When is it best to use components, and when is it best to use a custom field instead?
- Ensuring reliability and fidelity
- Defining the CyberArk Privileged Account Security Solution Architecture
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Only need to practice for 20 to 30 hours
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Certification Path
CAU-401 is an advanced course and requires EPM certification as a pre-requisite.
How to study the CAU-401 Exam
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How to book the CAU-401 Exam
These are following steps for registering the CyberArk CAU-401 exam.
- Step 1: Visit to Pearson VUE Exam Registration
- Step 2: Signup/Login to Pearson VUE account
- Step 3: Search for CyberArk CAU-401 Exam Certifications Exam
- Step 4: Select Date, time and confirm with payment method
Reference: https://training.cyberark.com/instructor-led-training/cyberark-end-point-manager
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