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These are following steps for registering the CyberArk CAU305 exam.
The price of the CAU305 exam is $200 USD.
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
What are the use cases where it is best to use Project Roles rather than Groups?
Conversational experiences (e.g., Dialogflow)
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 are all the various factors that influence whether a field is visible on a screen?
Customizing ML APIs (e.g., AutoML Vision, Auto ML text)
Which project details can be added and changed by Project Administrators?
Designing for data and application portability (e.g., multi-cloud, data residency requirements)
Use of edge compute
Machine learning terminology (e.g., features, labels, models, regression, classification, recommendation, supervised and unsupervised learning, evaluation metrics)
Who can change a Project Key, and what are the effects on issues in the project?
Which export options are available from the Issue Navigation? The following will be discussed here:
Where are all the places you need to look to fully identify what permissions a particular user has?
What is the relationship between screens, screen schemes and issue type screen schemes?
Leveraging pre-built ML models as a service
Ingesting appropriate data
What features are available for Jira Software projects, and to users who have Jira Software application access (as compared to just Jira Core)?
What are the uses of Project Category in Jira?
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?
Ensuring privacy (e.g., Data Loss Prevention API)
Ensuring scalability and efficiency
Mapping to current and future business requirements
What are the features, uses, limitations/restrictions of workflow changes, especially the Simplified Workflow?
Who can change the Simplified Workflow? What are the limitations on changes to the Simplified Workflow?
Operationalizing machine learning models
Common sources of error (e.g., assumptions about data)
What types of workflow changes can Project Administrators make if Extended Project Administration is activated?
Ensuring flexibility and portability
Distributed vs. single machine
Target Hosts Using Privileged Session Manager
Choosing the appropriate training and serving infrastructure
Hardware accelerators (e.g., GPU, TPU)
Performing data preparation and quality control (e.g., Cloud Dataprep)
Retraining of machine learning models (Cloud Machine Learning Engine, BigQuery ML, Kubeflow, Spark ML)
Deploying an ML pipeline
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 an Issue Collector and what permissions are needed to configure it?
Measuring, monitoring, and troubleshooting machine learning models
What things may need to be updated as a result of workflow changes of any kind?
Monitoring Privileged Account Access
Pipeline monitoring (e.g., Stackdriver)
Identity and access management (e.g.,Cloud IAM)
Building and running test suites
Designing for security and compliance
ML APIs (e.g., Vision API, Speech API)
Choosing between ACID, idempotent, eventually consistent requirements
Continuous evaluation
Defining the CyberArk Privileged Account Security Solution Architecture
Impact of dependencies of machine learning models
Securely Managing the System 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?
How do combinations of permissions work together to enable specific actions?
When is it best to use components, and when is it best to use a custom field instead?
Data staging, cataloging, and discovery
Assessing, troubleshooting, and improving data representations and data processing infrastructure
What is the importance of the Browse Projects permission?
Data security (encryption, key management)
Which business requirements necessitate the use of separate issue types in a project (e.g. different screens, workflows, etc.)?
Planning, executing, and stress testing data recovery (fault tolerance, rerunning failed jobs, performing retrospective re-analysis)
Ensuring reliability and fidelity
Resizing and autoscaling resources
What workflow changes can be done through the board by board administrators?
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