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 Reference

How much CAU305 Exam Cost

The price of the CAU305 exam is $200 USD.

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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.

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

• Defining the CyberArk Privileged Account Security Solution Architecture

• Ensuring flexibility and portability

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

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

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

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

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

• Ensuring reliability and fidelity

• Measuring, monitoring, and troubleshooting machine learning models

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

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

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

• Use of edge compute

• Deploying an ML pipeline

• Ensuring scalability and efficiency

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

• Pipeline monitoring (e.g., Stackdriver)

• What is the importance of the Browse Projects permission?

• Operationalizing machine learning models

• Building and running test suites

• Designing for security and compliance

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

• 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?

• What changes can be performed on statuses and transitions?

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

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

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

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

• Leveraging pre-built ML models as a service

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

• Data security (encryption, key management)

• Securely Managing the System Architecture

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

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

• Data staging, cataloging, and discovery

• Impact of dependencies of machine learning models

• Conversational experiences (e.g., Dialogflow)

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

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

• Ingesting appropriate data

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

• Continuous evaluation

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

• Choosing between ACID, idempotent, eventually consistent requirements

• Choosing the appropriate training and serving infrastructure

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

• What are the uses of Project Category in Jira?

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

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

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

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

• Verification and monitoring

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

• Target Hosts Using Privileged Session Manager

• Monitoring Privileged Account Access

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

• Mapping to current and future business requirements

• Distributed vs. single machine

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

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

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

• Resizing and autoscaling resources

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