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| Topic |
Details |
| Topic 1 |
- 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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| Topic 2 |
- Architect with Data Governance Services: This section evaluates skills of a Data Governance Specialist, covering the architecture of knowledge catalogs to enable data discovery and management. Data Privacy architectures ensure compliance with regulatory requirements around data protection. Knowledge Accelerators involve designing solutions that speed up data governance processes through predefined policies and templates.
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| Topic 3 |
- 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 4 |
- 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 5 |
- Architect with Data Source Services: This domain measures expertise of a Data Integration Architect and includes architecting solutions with data replication technologies to synchronize data across systems. IBM Data Virtualization architecture enables access to and querying of disparate data sources without data movement. Architecting with watsonx.data focuses on building intelligent data lakes and query engines. Architecting with Db2-related services involves designing scalable data management and processing architectures using IBM's Db2 platforms.
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>> Valid C1000-173 Mock Exam <<
Quiz IBM - Efficient C1000-173 - Valid IBM Cloud Pak for Data v4.7 Architect Mock Exam
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IBM Cloud Pak for Data v4.7 Architect Sample Questions (Q56-Q61):
NEW QUESTION # 56
Why is it essential to integrate Watson OpenScale in an AI solution architecture?
- A. To increase data encryption standards
- B. To reduce the computation power required
- C. To provide AI model fairness, explainability, and audit trails
- D. To diminish the role of data scientists
Answer: C
NEW QUESTION # 57
Which type of OpenShift route configuration supports client certificate authentication?
- A. Re-encrypt with a custom certificate
- B. Passthrough
- C. Re-encrypt
- D. Edge
Answer: B
Explanation:
Passthrough route configuration on OpenShift is the only route type that preserves the original TLS connection from the client to the backend service. This is essential for supporting client certificate authentication, as the certificate must be passed directly to the application without termination or inspection at the router level. Edge and Re-encrypt routes terminate the TLS connection at the OpenShift router or re- encrypt it with a new certificate, making them unsuitable for mutual TLS (mTLS) or client certificate scenarios.
NEW QUESTION # 58
In deciding between managed and self-managed OpenShift for Cloud Pak for Data, what are key factors to consider?
- A. In-house technical expertise
- B. Desired level of control over the environment
- C. Compliance requirements
- D. Cost considerations
Answer: A,B,D
NEW QUESTION # 59
What is the significance of understanding storage classes in Watson OpenScale?
- A. They influence the music played during data analysis
- B. Important for aligning storage performance with monitoring needs
- C. They dictate the background color of the dashboard
- D. Affect only the cost, not the performance
Answer: B
NEW QUESTION # 60
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 cannot be installed on an existing cluster.
- B. Cloud Pak for Data operators cannot be co-located with the IBM Cloud Pak foundational services operators.
- C. Partial installation of the Cloud Pak for Data has to be done manually for the first time installation.
- D. Automatic installation cannot be done for any of the Cloud Pak for Data services.
Answer: C
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 # 61
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