Last Updated: Jun 04, 2026
No. of Questions: 66 Questions & Answers with Testing Engine
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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.
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.
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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.
Who can change a Project Key, and what are the effects on issues in the project?
Hardware accelerators (e.g., GPU, TPU)
Leveraging pre-built ML models as a service
Designing for data and application portability (e.g., multi-cloud, data residency requirements)
Machine learning terminology (e.g., features, labels, models, regression, classification, recommendation, supervised and unsupervised learning, evaluation metrics)
Who can change the Simplified Workflow? What are the limitations on changes to the Simplified Workflow?
Verification and monitoring
Resizing and autoscaling resources
Ingesting appropriate 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))
Designing for security and compliance
Ensuring scalability and efficiency
Defining the CyberArk Privileged Account Security Solution Architecture
Data security (encryption, key management)
Common sources of error (e.g., assumptions about data)
Continuous evaluation
Mapping to current and future business requirements
Impact of dependencies of machine learning models
What features are available for Jira Software projects, and to users who have Jira Software application access (as compared to just Jira Core)?
What workflow changes can be done through the board by board administrators?
Customizing ML APIs (e.g., AutoML Vision, Auto ML text)
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)
Pipeline monitoring (e.g., Stackdriver)
What are all the various factors that influence whether a field is visible on a screen?
Where are all the places you need to look to fully identify what permissions a particular user has?
Building and running test suites
What is an Issue Collector and what permissions are needed to configure it?
Use of edge compute
Securely Managing the System Architecture
What types of workflow changes can Project Administrators make if Extended Project Administration is activated?
What is the relationship between screens, screen schemes and issue type screen schemes?
Assessing, troubleshooting, and improving data representations and data processing infrastructure
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?
Retraining of machine learning models (Cloud Machine Learning Engine, BigQuery ML, Kubeflow, Spark ML)
Choosing the appropriate training and serving infrastructure
Ensuring flexibility and portability
What things may need to be updated as a result of workflow changes of any kind?
Which business requirements necessitate the use of separate issue types in a project (e.g. different screens, workflows, etc.)?
Which export options are available from the Issue Navigation? The following will be discussed here:
Target Hosts Using Privileged Session Manager
Distributed vs. single machine
Choosing between ACID, idempotent, eventually consistent requirements
What is the importance of the Browse Projects permission?
ML APIs (e.g., Vision API, Speech API)
What are the features, uses, limitations/restrictions of workflow changes, especially the Simplified Workflow?
Operationalizing machine learning models
Monitoring Privileged Account Access
Planning, executing, and stress testing data recovery (fault tolerance, rerunning failed jobs, performing retrospective re-analysis)
What changes can be performed on statuses and transitions?
Which project details can be added and changed by Project Administrators?
Deploying an ML pipeline
When is it best to use components, and when is it best to use a custom field instead?
How do combinations of permissions work together to enable specific actions?
What are the use cases where it is best to use Project Roles rather than Groups?
Ensuring reliability and fidelity
Ensuring privacy (e.g., Data Loss Prevention API)
What are the uses of Project Category in Jira?
Performing data preparation and quality control (e.g., Cloud Dataprep)
Data staging, cataloging, and discovery
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?
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