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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.
Verification and monitoring
Securely Managing the System Architecture
ML APIs (e.g., Vision API, Speech API)
Who can change a Project Key, and what are the effects on issues in the project?
Performing data preparation and quality control (e.g., Cloud Dataprep)
Mapping to current and future business requirements
How do combinations of permissions work together to enable specific actions?
Which business requirements necessitate the use of separate issue types in a project (e.g. different screens, workflows, etc.)?
Measuring, monitoring, and troubleshooting machine learning models
What is the relationship between screens, screen schemes and issue type screen schemes?
Which project details can be added and changed by Project Administrators?
What is the importance of the Browse Projects permission?
Target Hosts Using Privileged Session Manager
What are the use cases where it is best to use Project Roles rather than Groups?
Pipeline monitoring (e.g., Stackdriver)
Continuous evaluation
Assessing, troubleshooting, and improving data representations and data processing infrastructure
Data staging, cataloging, and discovery
Use of edge compute
Building and running test suites
Designing for security and compliance
Impact of dependencies of machine learning models
Deploying an ML pipeline
Choosing between ACID, idempotent, eventually consistent requirements
What are all the various factors that influence whether a field is visible on a screen?
Retraining of machine learning models (Cloud Machine Learning Engine, BigQuery ML, Kubeflow, Spark ML)
Where are all the places you need to look to fully identify what permissions a particular user has?
Which export options are available from the Issue Navigation? The following will be discussed here:
What changes can be performed on statuses and transitions?
What things may need to be updated as a result of workflow changes of any kind?
Common sources of error (e.g., assumptions about data)
Legal compliance (e.g., Health Insurance Portability and Accountability Act (HIPAA), Children's Online Privacy Protection Act (COPPA), FedRAMP, General Data Protection Regulation (GDPR))
Ensuring privacy (e.g., Data Loss Prevention API)
Distributed vs. single machine
Resizing and autoscaling resources
When is it best to use components, and when is it best to use a custom field instead?
Defining the CyberArk Privileged Account Security Solution Architecture
Which configurations (schemes, versions, components, etc) are shared versus unique when new projects are (1) created from template or (2) with a shared configuration?
Ensuring scalability and efficiency
What is an Issue Collector and what permissions are needed to configure it?
Hardware accelerators (e.g., GPU, TPU)
Ensuring reliability and fidelity
Leveraging pre-built ML models as a service
Data security (encryption, key management)
How are valid JQL queries written? What operators and arguments are valid for various JQL functions (e.g. membersOf(), StartOfDay(), WAS, CHANGED, etc.)
What are the features, uses, limitations/restrictions of workflow changes, especially the Simplified Workflow?
What workflow changes can be done through the board by board administrators?
What are the uses of Project Category in Jira?
Monitoring Privileged Account Access
What features are available for Jira Software projects, and to users who have Jira Software application access (as compared to just Jira Core)?
Operationalizing machine learning models
Ensuring flexibility and portability
Customizing ML APIs (e.g., AutoML Vision, Auto ML text)
Choosing the appropriate training and serving infrastructure
Who can change the Simplified Workflow? What are the limitations on changes to the Simplified Workflow?
What types of workflow changes can Project Administrators make if Extended Project Administration is activated?
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?
Ingesting appropriate data
Planning, executing, and stress testing data recovery (fault tolerance, rerunning failed jobs, performing retrospective re-analysis)
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)
Conversational experiences (e.g., Dialogflow)
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CyberArk CAU305 Exam Reference
How to book the CAU305 Exam
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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What is the duration of the CAU305 Exam
- Length of Examination: 90 minutes
- Passing Score: 70%
- Number of Questions: 40
- Format: Multiple choices, multiple answers

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