Certification Path

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

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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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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.

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

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

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

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

• Measuring, monitoring, and troubleshooting machine learning models

• Ensuring flexibility and portability

• Use of edge compute

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

• 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)?

• Ensuring scalability and efficiency

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

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

• Deploying an ML pipeline

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

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

• What is the importance of the Browse Projects permission?

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

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

• Leveraging pre-built ML models as a service

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

• Verification and monitoring

• Monitoring Privileged Account Access

• What are the uses of Project Category in Jira?

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

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

• 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?

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

• Distributed vs. single machine

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

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

• Building and running test suites

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

• Choosing the appropriate training and serving infrastructure

• Conversational experiences (e.g., Dialogflow)

• Defining the CyberArk Privileged Account Security Solution Architecture

• 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

• Operationalizing machine learning models

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

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

• Mapping to current and future business requirements

• 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 changes can be performed on statuses and transitions?

• Continuous evaluation

• Ingesting appropriate data

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

• Securely Managing the System Architecture

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

• Impact of dependencies of machine learning models

• Data staging, cataloging, and discovery

• Designing for security and compliance

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

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

• Target Hosts Using Privileged Session Manager

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

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

• Choosing between ACID, idempotent, eventually consistent requirements

• Ensuring reliability and fidelity

• Data security (encryption, key management)

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

• Pipeline monitoring (e.g., Stackdriver)

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

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How to study the CAU305 Exam

Recertifications are an important part of maintaining credentials and status of the candidate. Practice exams and knowledge exam dumps are built to make students comfortable with the real exam environment. iPassleader expert team recommends you to prepare notes on these topics as you go along preparing with it and don't forget to practice CAU-305 practice exams and revise CAU-305 exam dumps.

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