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IBM C1000-173 Exam Syllabus Topics:

Section	Weight	Objectives
Cloud Pak for Data Architecture	20%	- Explain the Cloud Pak for Data architecture, key components, and services 1. Explain the integration with Red Hat OpenShift Container Platform 2. Understand how services are deployed as pods in the OpenShift cluster 3. Describe the purpose of Zen Core, Redis, and Postgres - Describe deployment models and licensing 1. Understand subscription models and capacity requirements 2. Differentiate between self-managed and cloud-managed deployments
Administration and Monitoring	15%	- User and access management 1. Integrate with external identity providers (LDAP/SAML) 2. Manage users, groups, and role-based access control (RBAC) - Monitor and maintain the environment 1. Troubleshoot common pod and service failures 2. Use OpenShift monitoring tools and CP4D logging
Planning and Designing a Cloud Pak for Data Solution	20%	- Plan network and storage infrastructure 1. Design network policies and routes 2. Plan for high availability and disaster recovery 3. Determine storage class requirements (File, Block, Object) - Size the environment 1. Select appropriate OpenShift cluster configurations 2. Calculate resource requirements based on user load and services
Data Virtualization, Governance, and Analytic Integration	10%	- Data Governance and Quality 1. Integrate with data fabric and knowledge graph concepts 2. Understand the purpose of data governance (Steward, Catalog) - Manage data sources and virtualization 1. Create and manage virtualized tables 2. Configure connections to databases and data warehouses
Security	15%	- Implement security best practices 1. Manage secrets and encryption at rest 2. Configure security context constraints (SCCs) 3. Understand compliance and auditing requirements
Installation and Configuration	20%	- Install Cloud Pak for Data on Red Hat OpenShift 1. Configure the ZenService and internal authentication 2. Manage certificates and security settings 3. Use the IBM Cloud Pak for Data installer and operators - Add and configure services 1. Install and configure core add-on services (e.g., Data Virtualization, Watson Studio) 2. Manage version upgrades of the platform and services

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IBM Cloud Pak for Data v4.7 Architect Sample Questions (Q99-Q104):

NEW QUESTION # 99
When creating a Db2 Big SQL service instance, which two service resource items should be taken into account when sizing the cluster?

A. Maximum expected throughput
B. Number of workers
C. Number of virtual cores
D. Amount of memory
E. Number of physical cores

Answer: B,D

Explanation:
When provisioning a Db2 Big SQL service instance in IBM Cloud Pak for Data, key considerations include the amount of memory available per worker node and the total number of worker nodes. These factors directly affect query execution parallelism and system capacity. The system does not distinguish between physical and virtual cores at the configuration level.
Throughput is an outcome of sizing, not a direct sizing parameter. Therefore, memory and number of workers are the two most critical sizing metrics.

NEW QUESTION # 100
What is the significance of understanding storage classes in Watson OpenScale?

A. They dictate the background color of the dashboard
B. They influence the music played during data analysis
C. Important for aligning storage performance with monitoring needs
D. Affect only the cost, not the performance

Answer: C

NEW QUESTION # 101
An architect is working with a team to configure Dynamic Workload Management for a single DataStage instance on Cloud Pak for Data. Auto-scaling has been disabled and the maximum concurrent jobs has been set to 5. What will happen if a sixth concurrent job is executed?

A. The sixth job will start if resources are available and will automatic.
B. The sixth job will fail and will need to be restarted.
C. The sixth job will queue until one of the other concurrent jobs completes.

Answer: C

Explanation:
Queueing mechanism is in place. Since the maximum concurrent jobs are limited to 5, the sixth job will not start immediately. Instead, it will queue and wait for one of the currently running jobs to complete, making room for the sixth job to execute.

NEW QUESTION # 102
How does IBM Data Virtualization aid in the creation of a Data Fabric?

A. It uses AI to predict where data will be used and relocated data for the best performance.
B. It is a replication tool that brings data from all sources together in one location.
C. It suspends access to a data source once a usage threshold is exceeded.
D. It allows data engineers to customize access to data across multiple data sources, then publish the resulting objects in a catalog.

Answer: D

NEW QUESTION # 103
Which two Cloud Pak for Data services support storage class NFS?

A. IBM Knowledge Catalog
B. watsonx Assistant
C. Planning Analytics
D. Watson Discovery
E. Watson Knowledge Studio

Answer: A,D

Explanation:
IBM Cloud Pak for Data supports NFS-backed persistent volumes (RWX storage class) for services that require access to shared file storage. Among the available services, IBM Knowledge Catalog and Watson Discovery are known to support NFS storage classes in installation configuration (e.g. "managed-nfs-storage") for persistent metadata and document storage. Other services like watsonx Assistant, Watson Knowledge Studio, and Planning Analytics use different storage mechanisms and do not necessarily support NFS shared storage in the standard CP4D
4.7 deployment.

NEW QUESTION # 104
......

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