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