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IBM C1000-173 Exam Overview:
| Certification Vendor: | IBM |
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| Exam Name: | IBM Cloud Pak for Data v4.7 Architect |
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| Exam Number: | C1000-173 |
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| Exam Duration: | 90 minutes |
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| Related Certifications: | IBM Cloud Pak for Data Data Engineer IBM Cloud Pak for Data Administrator |
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| Certificate Validity Period: | 3 years |
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| Real Exam Qty: | 60-70 |
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| Available Languages: | English |
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| Exam Price: | USD 200 (varies by region) |
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| Exam Format: | Multiple choice, Multiple response |
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| Recommended Training: | IBM Cloud Pak for Data Learning Resources |
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| Exam Registration: | IBM Certification Portal |
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| Sample Questions: | IBM C1000-173 Sample Questions |
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| Exam Way: | Online proctored exam (remote) or authorized testing center |
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| Pre Condition: | No strict mandatory prerequisites, but strong familiarity with IBM Cloud Pak for Data architecture and services is recommended. |
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| Official Syllabus URL: | https://www.ibm.com/training/certification |
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| Topic | Details |
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| Topic 1 | - Architect with AI Series: This section measures the skills of an AI Solution Architect and includes designing architectures for solutions involving various IBM Watson AI services. Architecting with Watson Assistant involves creating conversational AI interfaces. Watson Discovery solutions focus on building cognitive search and content analytics applications. Watson Pipelines solutions involve orchestrating data science workflows. Watson OpenScale architectures enable AI model monitoring and governance. Architecting with Match 360 supports personalized engagement by integrating multi-channel customer insights.
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| Topic 2 | - Architect with Analytic Services: This domain targets a Data Analytics Architect and focuses on designing solutions using analytic components of Cloud Pak for Data. Architecting with DataStage involves creating data integration and ETL pipelines. Data Refinery architectures prepare and cleanse data for analysis. Db2 Big SQL solutions address querying large distributed data sets with SQL, facilitating analytics across diverse data sources.
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| Topic 3 | - Security Requirements: This domain targets a Security Architect and focuses on planning security for a Cloud Pak for Data deployment. It includes managing certificates that secure communications, identity management systems, and access and authorization controls to enforce secure and compliant user and service interactions. The auditing features and their integration with enterprise audit systems are crucial to ensure traceability and accountability. Asset interchange security involves safeguarding data movement between services.
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IBM Cloud Pak for Data v4.7 Architect Sample Questions (Q67-Q72):
NEW QUESTION # 67
When migrating DataStage, what are key considerations? (Select two)
- A. Maintaining data encryption standards throughout the process
- B. Ensuring compatibility of data formats between old and new systems
- C. Checking the network bandwidth availability
- D. Ensuring uninterrupted power supply during migration
Answer: A,B
NEW QUESTION # 68
Why is it essential to integrate Watson OpenScale in an AI solution architecture?
- A. To provide AI model fairness, explainability, and audit trails
- B. To increase data encryption standards
- C. To diminish the role of data scientists
- D. To reduce the computation power required
Answer: A
NEW QUESTION # 69
An enterprise architect in a financial institute is deciding on the deployment option for Cloud Pak for Data on their existing OpenShift Container Platform cluster.
They have decided to use an automated deployment option and install Cloud Pak for Data from the cloud provider's marketplace. What are the limitations they may face with this decision?
- A. Cloud Pak for Data operators cannot be co-located with the IBM Cloud Pak foundational services operators.
- B. Automatic installation cannot be done for any of the Cloud Pak for Data services.
- C. Cloud Pak for Data cannot be installed on an existing cluster.
- D. Partial installation of the Cloud Pak for Data has to be done manually for the first time installation.
Answer: D
Explanation:
According to theIBM Cloud Pak for Data 4.7 Installation Guideand official IBM documentation, when deploying Cloud Pak for Data (CP4D) via a cloud provider marketplace (such as Red Hat OpenShift OperatorHub or a cloud marketplace), the deployment process offers an automated installation method that simplifies the setup. However, there are certain limitations and manual steps that may be required during the initial installation phase.
* CP4D supports installation on an existing OpenShift Container Platform cluster, so option A is incorrect.
* Some core services and operators, including foundational services, can be installed automatically via operators, so option B is incorrect.
* Cloud Pak for Data operators and IBM foundational services operators can coexist in the same OpenShift cluster, so option C is incorrect.
* Theofficial installation documentation for version 4.7specifies that the initial installation requires manual intervention for partial installation - for example, manually setting up foundational services or configuring specific operators before automated installation of the rest of the platform can continue smoothly. This partial manual setup is especially relevant when using marketplace deployment to ensure all prerequisites and configurations are met.
Exact extract from IBM Cloud Pak for Data 4.7 Installation documentation:
"When deploying Cloud Pak for Data via the OperatorHub or cloud marketplace, the initial setup requires manual installation of foundational services operators and configuration of the cluster environment before proceeding with the automated installation of Cloud Pak for Data services. Thispartial manual step ensures proper configuration and avoids conflicts during automated deployment."
-IBM Cloud Pak for Data Installation Guide v4.7, section "Installing from OperatorHub and Marketplace" References:
IBM Cloud Pak for Data 4.7 Installation Guide (https://www.ibm.com/docs/en/cloud-paks/cp-data/4.7?
topic=deployment-installing-from-operatorhub-marketplace)
IBM Knowledge Center for Cloud Pak for Data 4.7
NEW QUESTION # 70
Which of the following is a benefit of multi-tenancy in cloud environments?
- A. Decreased operational efficiency
- B. Cost reduction by sharing infrastructure
- C. Compromised data security between tenants
- D. Increased resource consumption per tenant
Answer: B
NEW QUESTION # 71
Which two Cloud Pak for Data services support storage class NFS?
- A. Planning Analytics
- B. Watson Knowledge Studio
- C. Watson Discovery
- D. IBM Knowledge Catalog
- E. watsonx Assistant
Answer: C,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 # 72
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