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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
Ingesting appropriate data
Operationalizing machine learning models
Where are all the places you need to look to fully identify what permissions a particular user has?
Who can change a Project Key, and what are the effects on issues in the project?
What workflow changes can be done through the board by board administrators?
Hardware accelerators (e.g., GPU, TPU)
Which export options are available from the Issue Navigation? The following will be discussed here:
Continuous evaluation
Deploying an ML pipeline
Monitoring Privileged Account Access
When is it best to use components, and when is it best to use a custom field instead?
Machine learning terminology (e.g., features, labels, models, regression, classification, recommendation, supervised and unsupervised learning, evaluation metrics)
Choosing between ACID, idempotent, eventually consistent requirements
Ensuring reliability and fidelity
Mapping to current and future business requirements
Retraining of machine learning models (Cloud Machine Learning Engine, BigQuery ML, Kubeflow, Spark ML)
Customizing ML APIs (e.g., AutoML Vision, Auto ML text)
What is an Issue Collector and what permissions are needed to configure it?
What are the uses of Project Category in Jira?
Who can change the Simplified Workflow? What are the limitations on changes to the Simplified Workflow?
Planning, executing, and stress testing data recovery (fault tolerance, rerunning failed jobs, performing retrospective re-analysis)
Which business requirements necessitate the use of separate issue types in a project (e.g. different screens, workflows, etc.)?
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
Designing for data and application portability (e.g., multi-cloud, data residency requirements)
What things may need to be updated as a result of workflow changes of any kind?
Verification and monitoring
Use of edge compute
Measuring, monitoring, and troubleshooting machine learning models
Ensuring scalability and efficiency
What types of workflow changes can Project Administrators make if Extended Project Administration is activated?
Building and running test suites
Impact of dependencies of machine learning models
Common sources of error (e.g., assumptions about data)
Performing data preparation and quality control (e.g., Cloud Dataprep)
Ensuring privacy (e.g., Data Loss Prevention API)
What are all the various factors that influence whether a field is visible on a screen?
Identity and access management (e.g.,Cloud IAM)
Securely Managing the System Architecture
Ensuring flexibility and portability
ML APIs (e.g., Vision API, Speech API)
Which configurations (schemes, versions, components, etc) are shared versus unique when new projects are (1) created from template or (2) with a shared configuration?
Designing for security and compliance
Defining the CyberArk Privileged Account Security Solution Architecture
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 use cases where it is best to use Project Roles rather than Groups?
Which project details can be added and changed by Project Administrators?
Data security (encryption, key management)
What features are available for Jira Software projects, and to users who have Jira Software application access (as compared to just Jira Core)?
How do combinations of permissions work together to enable specific actions?
Target Hosts Using Privileged Session Manager
Resizing and autoscaling resources
Data staging, cataloging, and discovery
Conversational experiences (e.g., Dialogflow)
What is the importance of the Browse Projects permission?
What changes can be performed on statuses and transitions?
What are the features, uses, limitations/restrictions of workflow changes, especially the Simplified Workflow?
What is the relationship between screens, screen schemes and issue type screen schemes?
Distributed vs. single machine
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?
Pipeline monitoring (e.g., Stackdriver)
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CyberArk CAU305日本語 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Privileged Session Management | - Managing target host access
|
| Authentication and Integrations | - External integrations
|
| Privileged Account Monitoring | - Monitoring privileged access
|
| Secure System Management | - Managing PAS infrastructure
|
| Maintenance and Troubleshooting | - Operational support
|
| CyberArk Privileged Access Security Solution Architecture | - Defining CyberArk PAS architecture
|
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