C1000-173 Detail Explanation - C1000-173 Reliable Study Questions

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IBM C1000-173 Exam Syllabus Topics:

Topic	Details
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	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.
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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IBM Cloud Pak for Data v4.7 Architect Sample Questions (Q22-Q27):

NEW QUESTION # 22
What steps are required for setting up IBM Data Replication for Cloud Pak for Data?

A. Define users, define source, define target
B. Define server, define data management rules, define security rules
C. Define source, define target, define replication
D. Define server, define target, define security rules

Answer: C

Explanation:
To set up IBM Data Replication in Cloud Pak for Data, administrators must follow a sequence that begins with defining the source (such as a transactional database), then defining the target system (such as a data lake or warehouse), and finally configuring the replication process. This setup allows for near real-time data synchronization. User definitions, server setup, and data management rules are involved elsewhere in the platform but are not the essential steps for replication configuration.

NEW QUESTION # 23
Which of the following services is NOT included in IBM Cloud Pak for Data?

A. Watson Studio
B. Watson Knowledge Catalog
C. IBM DataStage
D. IBM Cloud Pak for Multicloud Management

Answer: D

Explanation:
IBM Cloud Pak for Data includes services like Watson Studio (for AI and data science), Watson Knowledge Catalog (for data governance), and IBM DataStage (for data integration). IBM Cloud Pak for Multicloud Management is a different solution focused on managing multiple cloud environments, not data.

NEW QUESTION # 24
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 # 25
What is a key security feature to manage for data stores in Watson Assistant?

A. Physical security of data centers
B. Data encryption both at rest and in transit
C. Biometric access controls for system administrators
D. Two-factor authentication for user logins

Answer: B

NEW QUESTION # 26
What are two ways to customize Knowledge Accelerators to meet specific requirements?

A. Change Knowledge Accelerator content inline.
B. Place Knowledge Accelerator content in a "development" vocabulary separate from the main stream
"enterprise vocabulary".
C. Customize the content in a separate namespace.
D. Create a separate project for any customized content.
E. Use a GitHub Repo to manage any changes.

Answer: B,D

Explanation:
Customization of Knowledge Accelerators in IBM Cloud Pak for Data is a structured process to preserve the integrity of base content while allowing for extension. The recommended approaches include:
Creating a separate project for customizations, so that changes are isolated and easily managed without affecting the source accelerator.
Using a "development" vocabulary where custom terms and structures are created. This is separate from the
"enterprise vocabulary," which contains the unmodified, original Knowledge Accelerator content.
Inline editing of the original content is discouraged. Use of GitHub or namespaces is not part of the official customization workflow.

NEW QUESTION # 27
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