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[General] Valid IBM C1000-173 Exam Syllabus - Valid C1000-173 Exam Tips

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【General】 Valid IBM C1000-173 Exam Syllabus - Valid C1000-173 Exam Tips

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IBM C1000-173 Exam Syllabus Topics:
TopicDetails
Topic 1
  • Plan for a Cloud Pak for Data Implementation: This section of the exam measures the skills of an Implementation Consultant and covers determining which Cloud Pak for Data services to deploy based on organizational needs. It involves sizing the Kubernetes
  • OpenShift cluster appropriately for workload demands and planning backup and restore strategies to ensure data protection. Planning for high availability and disaster recovery is essential to maintain uninterrupted service. Multi-tenancy requirements must be understood to support multiple user groups securely on shared infrastructure. Migration requirements need assessment to transition existing data and workloads smoothly.
Topic 2
  • 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.
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.

Valid C1000-173 Exam Tips - C1000-173 Online VersionIt is compatible with Windows computers and comes with a complete support team to manage any issues that may arise. By using the IBM Cloud Pak for Data v4.7 Architect (C1000-173) practice exam software, you can reduce the risk of failing in the actual C1000-173 Exam. So, if you're looking for a reliable and effective way to prepare for your C1000-173 exam, Pass4training is the best option.
IBM Cloud Pak for Data v4.7 Architect Sample Questions (Q150-Q155):NEW QUESTION # 150
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. Partial installation of the Cloud Pak for Data has to be done manually for the first time installation.
  • C. Automatic installation cannot be done for any of the Cloud Pak for Data services.
  • D. Cloud Pak for Data cannot be installed on an existing cluster.
Answer: B
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 # 151
What is the significance of planning an environment for multiple Cloud Pak deployments?
  • A. Avoiding the use of projects and namespaces for simplicity
  • B. Customizing each deployment based on tenant needs and usage patterns
  • C. Ensuring a one-size-fits-all approach to resource allocation
  • D. To reduce the operational complexity and management overhead
Answer: B

NEW QUESTION # 152
What is the role of a "Connection" in the Cloud Pak for Data connectivity framework?
  • A. Provide metadata for data transformation.
  • B. Store and mange data locally on the platform for data co-location.
  • C. Act as a reference to the data source environment without data movement.
  • D. Move and copy data between data sources using optimized communication protocols.
Answer: C
Explanation:
In IBM Cloud Pak for Data, a "Connection" is a configuration object that defines how to access an external data source, such as Db2, Oracle, or an S3 bucket. It does not involve moving or copying data. Instead, it acts as a reference to the external data source environment, enabling users to browse, query, and analyze the data in place. This approach supports virtualized access and governance while avoiding data duplication and ensuring data stays within its source system, aligning with enterprise data security policies.

NEW QUESTION # 153
Insurance industry datasets frequently include personally identifiable information (PII) and many data analysts need access to datasets but not to PII.
Which Cloud Pak for Data services leverage Data Protection Rules?
  • A. Watson Discovery and Watson Assistant
  • B. IBM Data Virtualization, Data Privacy, and IBM Knowledge Catalog
  • C. DataStage, SPSS Modeler, and Python Notebooks
  • D. Data Refinery, Watson Pipeline, and Watson Studio
Answer: B
Explanation:
IBM Cloud Pak for Data includes built-in Data Protection Rules to enforce access control on sensitive data, such as PII. These rules are integrated directly into services like IBM Data Virtualization, Data Privacy, and IBM Knowledge Catalog. When analysts or applications access data through these services, the platform automatically masks, obfuscates, or restricts access to sensitive fields based on the defined policies. This ensures compliance with data privacy regulations and organizational security policies without manual intervention.

NEW QUESTION # 154
What outcomes can be achieved from Match 360?
  • A. Produces a AI based dashboard to let users analyze business data.
  • B. Connect disparate data sources to provide a virtual view of your data.
  • C. Uses a dialog format to talk with your data to get insights.
  • D. Produces statistics and graphs to let users analyze and explore master data.
Answer: D
Explanation:
Match 360 is IBM's master data management (MDM) service integrated into Cloud Pak for Data. It produces master data views along with statistics, graphs, and insights that allow users to explore, analyze, and understand their master data entities (e.g., customers, products). While it does integrate data from disparate sources, its focus is on consolidating and providing master data analysis rather than virtual views (B) or conversational analytics (A).

NEW QUESTION # 155
......
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