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1. In managing Cloud Pak for Data cluster resources, what practices should be avoided?

Setting realistic resource limits based on application needs.

Allocating resources without forecasting future needs.

Ignoring pod resource requests and limits.

Failing to consider the overhead introduced by logging and monitoring services.

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2. What is the first step in planning an upgrade for the Cloud Pak for Data platform?

Scheduling downtime for the platform during the upgrade process.

Reviewing the release notes for the new version.

Backing up the current system state and data.

Checking hardware and software prerequisites for the new version.

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3. In an air-gapped environment, how is the Cloud Pak for Data installation process initiated?

By connecting each node to a secure VPN that simulates internet access.

Using a command-line tool to install from a local registry where images are stored.

Through an automated script that detects an air-gapped environment and adjusts accordingly.

By manually copying installation files to each node via removable media.

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4. When configuring routes for Cloud Pak for Data, what considerations should be made? Select all that apply.

Ensuring routes are secured with SSL/TLS certificates.

Configuring routes to bypass authentication for easier access.

Using descriptive names for routes to reflect the service they expose.

Implementing load balancing across multiple routes for high availability.

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5. Describe the deployment architecture of Cloud Pak for Data.

Which of the following components are essential? Select all that apply.

A centralized logging service for all microservices.

A dedicated namespace for each type of service (e.g., analytics, data management).

Load balancers for distributing user requests to different services.

Independent scaling mechanisms for each microservice.

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6. What are the necessary steps to prepare for an air-gapped installation of Cloud Pak for Data? Select all that apply.

Downloading all relevant container images to a local registry.

Ensuring direct internet access for all nodes in the cluster.

Preparing an offline access token from the IBM Container Registry.

Verifying the integrity of downloaded images using checksums.

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7. When configuring secrets and vaults in Cloud Pak for Data, what practices should be followed? Select all that apply.

Storing secrets in a version-controlled repository.

Utilizing integrated secret management tools like HashiCorp Vault.

Encrypting secrets at rest and in transit.

Limiting access to secrets based on role-based access control (RBAC).

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8. How is an upgrade or patch for Cloud Pak for Data services performed?

Manually, by downloading and applying the patch to each service.

Automatically, through the Cloud Pak for Data management console.

By uninstalling and then reinstalling each service with the updated version.

Using a script provided by IBM for automated patching and upgrading.

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9. In troubleshooting the Cloud Pak for Data platform, what is a common pitfall to avoid?

Over-reliance on automated tools without understanding the underlying issue.

Consulting the documentation and knowledge base for known issues.

Immediately escalating all issues to IBM support without initial analysis.

Gathering detailed information about the problem before attempting to fix it.

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10. Which service requires a custom security context constraint (SCC) when upgrading from v3.5 to v4.6?

Watson Query

Watson Speech services

Watson Knowledge Studio

Watson Knowledge Catalog

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11. What are the prerequisites for installing Cloud Pak for Data? Select all that apply.

Configuring network policies for inter-pod communication.

Establishing a direct internet connection for all cluster nodes.

Setting up persistent storage meeting specific IOPS requirements.

Ensuring compatible Kubernetes or OpenShift cluster version is available.

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12. Considering deployment architecture for Cloud Pak for Data, what factor is crucial for high availability and disaster recovery?

Deploying all components in a single cluster for ease of management.

Utilizing multiple clusters across different geographic locations.

Relying on default Kubernetes replication for data backup.

Ensuring all nodes are within the same data center for latency reduction.

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13. Which of the following are software requirements for deploying Cloud Pak for Data?

A proprietary IBM operating system.

Compatible versions of Kubernetes or OpenShift.

Cloud Pak for Data specific CLI tools installed on each node.

Access to IBM Cloud Pak for Data repositories for software and updates.

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14. Describe the multi-tenancy support with Cloud Pak for Data.

Which of the following statements accurately describe its capabilities?

Supports a single namespace for all tenants.

Allows different tenants to have isolated environments within a single installation.

Enables shared computing resources across all tenants without isolation.

Supports role-based access control (RBAC) for managing tenant access.

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15. Multitenancy with tethered projects in Cloud Pak for Data is described by which of the following?

Projects are physically separated on different clusters.

Projects are logically separated but share the same cluster resources.

Each project requires its own set of user credentials.

Tethering allows projects to share compute resources but not data storage.

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16. How can the REST API be utilized in administering Cloud Pak for Data?

To directly access and modify the underlying operating system settings.

For automating the deployment of service instances.

To stream real-time analytics data to external systems.

Managing users and their access rights.

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17. Which of the following is a key feature of the monitoring options available in Cloud Pak for Data?

Automatic resolution of detected issues without administrator intervention.

Visualization of performance metrics and system health in customizable dashboards.

Monitoring tools can only be accessed by IBM support staff for security reasons.

Limited monitoring capabilities to reduce the performance overhead on the platform.

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18. In the context of Cloud Pak for Data, how does an air-gapped installation impact ongoing maintenance and updates?

Updates can be automatically downloaded and applied.

Maintenance and updates require manual intervention to import updates.

There is no impact; updates are handled in the same way as online installations.

Air-gapped installations are updated remotely by IBM support.

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19. What is the recommended approach to patching Cloud Pak for Data services to ensure minimal disruption?

Patching services one at a time, starting with the least critical.

Patching all services simultaneously to reduce the maintenance window.

Scheduling patches during the system's least active hours.

Patching without prior testing to expedite the process.

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20. What is the correct process to uninstall Cloud Pak for Data and its services?

Deleting the Cloud Pak for Data project or namespace in Kubernetes or OpenShift.

Manually removing each pod and service associated with Cloud Pak for Data.

Using the provided uninstallation script from the Cloud Pak for Data documentation.

Uninstalling through the Cloud Pak for Data web interface.

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21. In the context of Cloud Pak for Data, how can you ensure that services remain compatible after a platform upgrade?

By never upgrading the platform.

Upgrading all services to their latest versions before the platform upgrade.

Consulting the compatibility matrix provided by IB

Keeping services at their original versions to avoid conflicts.

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22. Describe options to achieve high availability in a Cloud Pak for Data cluster. Select all that apply.

Deploying multiple instances of critical services across different nodes.

Utilizing a single-node cluster to simplify management.

Configuring anti-affinity rules to distribute pods evenly.

Implementing automatic failover mechanisms for stateful services.

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23. Describe the components of network security in Cloud Pak for Data.

Which of the following are considered crucial?

Firewall rules that limit access to the Kubernetes cluster.

Network policies that restrict pod-to-pod communication.

SSL/TLS encryption for data in transit.

A physical lock for the server room.

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24. How can multitenancy with service instances be achieved in Cloud Pak for Data? Select all that apply.

By allocating each tenant a dedicated service instance.

Using a shared service instance for all tenants to reduce overhead.

Isolating service instances through network policies and access controls.

Provisioning service instances in separate namespaces for each tenant.

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25. Which strategy minimizes downtime during an upgrade of Cloud Pak for Data platform?

Performing the upgrade in-place during peak usage hours.

Using a blue-green deployment strategy.

Upgrading all nodes simultaneously to speed up the process.

Ignoring pre-upgrade checks to save time.

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26. What is required to install the OpenShift CLI (oc) for Cloud Pak for Data?

Downloading the oc binary from the official OpenShift website.

Configuring oc to communicate with your IBM Cloud account.

Installing oc on a node within the OpenShift cluster.

Adding the oc binary to your system's PAT

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27. Which of the following methods can be used to configure user management in Cloud Pak for Data?

Directly editing user profiles in the database.

Using the Cloud Pak for Data web interface to create and manage users.

Configuring an LDAP directory for user synchronization.

Utilizing a command-line interface (CLI) for bulk user operations.

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28. Which cpd-cli manage command is used to enable Horizontal Pod Autoscaling (HPA) to dynamically scale resources for services based on workload usage?

update-cr

apply-cr

enable-cr

delete-cr

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29. How are permissions granted in Cloud Pak for Data, and what access does this grant to users?

Permissions are granted based on the user's job title.

Through role-based access control, specifying what resources a user can access and what actions they can perform.

All users are granted full access by default for simplicity.

Permissions are randomly assigned to ensure equal distribution of access rights.

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30. When planning for a patch to Cloud Pak for Data services, what considerations should be taken into account?

The impact of the patch on service availability and performance.

The possibility of reverting the patch if it causes issues.

The patch's compatibility with other installed services.

The color scheme of the user interface post-patch.

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31. Managing platform and services certificates in Cloud Pak for Data involves which of the following considerations? Select all that apply.

Certificates must be from an IBM-approved certificate authority only.

Regularly updating certificates before they expire to avoid service interruptions.

Ensuring certificates are compatible with all browsers for web access.

Automating the certificate renewal process where possible to minimize manual tasks.

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32. Why is it important to configure secrets and vaults in Cloud Pak for Data?

To enhance the platform's overall aesthetic appeal.

To prevent unauthorized access to sensitive information.

To increase the data processing speed by caching secrets.

To ensure compliance with data protection regulations.

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