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Exam C1000-173: IBM Cloud Pak for Data V4.7 Architect

An IBM Certified Architect on Cloud Pak for Data v4.7 is a person who can design a Data and AI solution in a hybrid cloud environment. This architect can lead and guide in planning the implementation of a Cloud Pak for Data solution which may include AI, Analytics, Data Governance, and Data Sources. They can do this with limited assistance from support, documentation, and/or relevant subject matter experts.

Exam Information

Exam Code: C1000-173

Exam Name: IBM Cloud Pak for Data V4.7 Architect

Number of questions: 62

Number of questions to pass: 41

Time allowed: 90 minutes

Languages: English

Price: $200 USD

Certification: IBM Certified Architect - Cloud Pak for Data V4.7

Exam Sections

Section 1: Plan for a Cloud Pak for Data Implementation 19%

Determine the services to be implemented

Understand sizing of a cluster

Plan for backup and restore

Plan for High Availability and Disaster Recovery

Determine multi-tenancy requirements

Assess migration requirements

Understand storage requirements

Consider the advantages of SaaS vs non-SaaS

Decide between managed and self-managed OpenShift

Architect for a multi-cloud data integration

Plan for auditing, logging, and monitoring requirements during implementation

Section 2: Security Requirements 16%

Consider requirements for certificate management

Explain identity management, access, and authorization features

Describe the auditing and audit integration features

Describe the asset interchange security features

Determine API/ automation requirements

Plan for multi-cloud security requirements

Consider the requirements for an air-gapped environment

Section 3: Architect with AI services 17%

Architect a solution with Watson Assistant

Architect a solution with Watson Discovery

Architect a solution with Watson Pipelines

Architect a solution with Watson OpenScale

Architect a solution with Match 360

Section 4: Architect with Analytic services 16%

Architect a solution with DataStage

Architect a solution with Data Refinery

Architect a solution with Db2 Big SQL

Section 5: Architect with Data Governance services 19%

Architect a solution with Knowledge Catalog

Architect a solution with Data Privacy

Architect a solution with Knowledge Accelerators

Section 6: Architect with Data Source services 13%

Architect a solution with Data Replication

Architect a solution with IBM Data Virtualization

Architect a solution with watsonx.data

Architect a solution with Db2 related services

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1. What statement is true about tethered projects?

A. Tethered projects can be shared by multiple instances of Cloud Pak for Data.

B. A tethered project cannot have its own NetworkPolicies, SecurityContext and ResourceQuota.

C. All Cloud Pak for Data services support running workloads or service instances in tethered projects.

D. Use tethered projects to isolate service instances or workloads from the rest of the Cloud Pak for Data deployment.

Answer: D

2. An organization has created an extensive number of data protection rules as part of their Cloud Pak for Data implementation. The governance team is working on developing best practices for their team to maximize this investment.

Which service can be used to create a copy of cataloged asset data with all data protection rules applied?

A. DataStage

B. Data Privacy

C. SPSS Modeler

D. IBM Data Virtualization

Answer: B

3. Which mechanism will ensure long term system stability of a Cloud Pak for Data environment?

A. Enforce quotas to specify the maximum amount of memory and vCPU for the platform, a specific service, or a project.

B. Adjust the data throttle property on a per user basis to limit data throughput to available resources.

C. Setup pod autoscaling to set a resource limit for all Cloud Pak for Data service pods.

D. Add more worker nodes.

Answer: A

4. How does IBM Data Virtualization aid in the creation of a Data Fabric?

A. It suspends access to a data source once a usage threshold is exceeded.

B. It is a replication tool that brings data from all sources together in one location.

C. It uses AI to predict where data will be used and relocated data for the best performance.

D. It allows data engineers to customize access to data across multiple data sources, then publish the resulting objects in a catalog.

Answer: D

5. What is used to monitor workloads when running Db2 Warehouse as a Cloud Pak for Data service?

A. Db2 Graph server

B. Db2 Control Center

C. Db2 Data Management Console

D. Db2 Administration Framework

Answer: C

6. Which Cloud Pak for Data predefined role has permission to create service instances?

A. Data Scientist

B. Data Engineer

C. Data Steward

D. Reporting Administrator

Answer: B

7. What happens when the maximum number of new service instances is reached in Watson Discovery?

A. A reset command is required.

B. The oldest service instance is deleted to maintain the maximum number.

C. The user is warned that all service instances will stop.

D. There is no option to create more.

Answer: D

8. What is the primary requirement to enforce data privacy in Cloud Pak for Data?

A. Data assets are exclusively accessed through IBM Data Virtualization.

B. Data source access control lists are properly defined.

C. A properly configured Governance Catalog.

D. Data Privacy service is installed.

Answer: C

9. The data integration team at a financial services company has always struggled to manage resources as the number of integration jobs changes throughout the month. Which two settings are available when configuring Dynamic Workload Management for a specific DataStage instance?

A. Job Count (JobCount)

B. Job Log Retention (log_retention)

C. ETL/ELT Mode (ETL, ELT, or HybriD.

D. Job Configuration File (APT_CONFIG_FILE.

E. Auto-scaling (computePodsMin, computePodsMax)

Answer: A, E

10. Which API allows the management of users, roles, and authentication, as well as monitors the status of the Cloud Pak for Data platform?

A. Alerting

B. Watson Data

C. Credentials and Secrets

D. Cloud Pak for Data Platform

Answer: D