CyberArk CAU305 pass test : CyberArk CDE Recertification

Who should take the CAU305 exam

The CyberArk CDE certification is valid for 18 months. Certified Delivery Engineers will get automatic notifications 6 months and 3 months before their certification is expired. To get re-certified, CyberArk Certified Delivery Engineers should pass the CAU305: CyberArk CDE Recertification exam.

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Difficulty in writing CAU305 Exam

Candidates already have experience with Sentry and Defender examination so it is not difficult to pass the recertifications. CAU-305 exam dumps and CAU-305 practice exams to revise the already discussed syllabus.

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.

• Mapping to current and future business requirements

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

• Securely Managing the System Architecture

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

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

• Defining the CyberArk Privileged Account Security Solution Architecture

• Building and running test suites

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

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

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

• Choosing between ACID, idempotent, eventually consistent requirements

• Continuous evaluation

• Operationalizing machine learning models

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

• Measuring, monitoring, and troubleshooting machine learning models

• Impact of dependencies of machine learning models

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

• Distributed vs. single machine

• Designing for security and compliance

• Conversational experiences (e.g., Dialogflow)

• Choosing the appropriate training and serving infrastructure

• Verification and monitoring

• What are the uses of Project Category in Jira?

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

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

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

• Ingesting appropriate data

• Ensuring scalability and efficiency

• 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?

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

• Target Hosts Using Privileged Session Manager

• Leveraging pre-built ML models as a service

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

• What changes can be performed on statuses and transitions?

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

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

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

• Monitoring Privileged Account Access

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

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

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

• Pipeline monitoring (e.g., Stackdriver)

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

• Data staging, cataloging, and discovery

• Deploying an ML pipeline

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

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

• Resizing and autoscaling resources

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

• Ensuring reliability and fidelity

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

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

• 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?

• Use of edge compute

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

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

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

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

• Ensuring flexibility and portability

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

• What is the importance of the Browse Projects permission?

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

CyberArk CAU305 Exam Syllabus Topics: