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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.
Leveraging pre-built ML models as a service
What are the features, uses, limitations/restrictions of workflow changes, especially the Simplified Workflow?
Verification and monitoring
Securely Managing the System Architecture
Which project details can be added and changed by Project Administrators?
What are all the various factors that influence whether a field is visible on a screen?
What things may need to be updated as a result of workflow changes of any kind?
Who can change the Simplified Workflow? What are the limitations on changes to the Simplified Workflow?
Which business requirements necessitate the use of separate issue types in a project (e.g. different screens, workflows, etc.)?
Target Hosts Using Privileged Session Manager
Which export options are available from the Issue Navigation? The following will be discussed here:
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
Performing data preparation and quality control (e.g., Cloud Dataprep)
Designing for data and application portability (e.g., multi-cloud, data residency requirements)
Continuous evaluation
Ensuring flexibility and portability
What changes can be performed on statuses and transitions?
Deploying an ML pipeline
Pipeline monitoring (e.g., Stackdriver)
Use of edge compute
Retraining of machine learning models (Cloud Machine Learning Engine, BigQuery ML, Kubeflow, Spark ML)
Measuring, monitoring, and troubleshooting machine learning models
Which configurations (schemes, versions, components, etc) are shared versus unique when new projects are (1) created from template or (2) with a shared configuration?
Planning, executing, and stress testing data recovery (fault tolerance, rerunning failed jobs, performing retrospective re-analysis)
How are valid JQL queries written? What operators and arguments are valid for various JQL functions (e.g. membersOf(), StartOfDay(), WAS, CHANGED, etc.)
What is the importance of the Browse Projects permission?
Conversational experiences (e.g., Dialogflow)
Customizing ML APIs (e.g., AutoML Vision, Auto ML text)
Data security (encryption, key management)
What is the relationship between screens, screen schemes and issue type screen schemes?
Identity and access management (e.g.,Cloud IAM)
Machine learning terminology (e.g., features, labels, models, regression, classification, recommendation, supervised and unsupervised learning, evaluation metrics)
What is an Issue Collector and what permissions are needed to configure it?
Ingesting appropriate data
What workflow changes can be done through the board by board administrators?
Defining the CyberArk Privileged Account Security Solution Architecture
Where are all the places you need to look to fully identify what permissions a particular user has?
Ensuring privacy (e.g., Data Loss Prevention API)
Data staging, cataloging, and discovery
Impact of dependencies of machine learning models
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 the appropriate training and serving infrastructure
Assessing, troubleshooting, and improving data representations and data processing infrastructure
What types of workflow changes can Project Administrators make if Extended Project Administration is activated?
How do combinations of permissions work together to enable specific actions?
Distributed vs. single machine
Resizing and autoscaling resources
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?
Monitoring Privileged Account Access
ML APIs (e.g., Vision API, Speech API)
Designing for security and compliance
Building and running test suites
Common sources of error (e.g., assumptions about data)
Ensuring reliability and fidelity
Choosing between ACID, idempotent, eventually consistent requirements
What are the use cases where it is best to use Project Roles rather than Groups?
What are the uses of Project Category in Jira?
Who can change a Project Key, and what are the effects on issues in the project?
What features are available for Jira Software projects, and to users who have Jira Software application access (as compared to just Jira Core)?
Hardware accelerators (e.g., GPU, TPU)
Ensuring scalability and efficiency
Operationalizing machine learning models
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