CyberArk CAU305

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These are following steps for registering the CyberArk CAU305 exam.

• Step 1: Visit to Pearson VUE Exam Registration
• Step 2: Signup/Login to Pearson VUE account
• Step 3: Search for CyberArk CAU305 Exam Certifications Exam
• Step 4: Select Date, time and confirm with payment method

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• Leveraging pre-built ML models as a service

• 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?

• Use of edge compute

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

• Verification and monitoring

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

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

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

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

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

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

• What changes can be performed on statuses and transitions?

• Operationalizing machine learning models

• Continuous evaluation

• Ensuring reliability and fidelity

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

• Data security (encryption, key management)

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

• 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

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

• Mapping to current and future business requirements

• Ensuring scalability and efficiency

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

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

• Ensuring flexibility and portability

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

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

• Distributed vs. single machine

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

• Choosing between ACID, idempotent, eventually consistent requirements

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

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

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

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

• Conversational experiences (e.g., Dialogflow)

• 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?

• Defining the CyberArk Privileged Account Security Solution Architecture

• Resizing and autoscaling resources

• Impact of dependencies of machine learning models

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

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

• Building and running test suites

• Target Hosts Using Privileged Session Manager

• Deploying an ML pipeline

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

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

• Securely Managing the System Architecture

• What are the uses of Project Category in Jira?

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

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

• Measuring, monitoring, and troubleshooting machine learning models

• Data staging, cataloging, and discovery

• What is the importance of the Browse Projects permission?

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

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

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

• Ingesting appropriate data

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

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

• Monitoring Privileged Account Access

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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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CyberArk CAU305 Exam Syllabus Topics: