IBM C1000-173 Practice Exams
Last updated on Oct 21,2026- Exam Code: C1000-173
- Exam Name: IBM Cloud Pak for Data V4.7 Architect
- Certification Provider: IBM
- Latest update: Oct 21,2026
Which Cloud Pak for Data services support multi-tenancy?
- A . Only those that require complete resource isolation
- B . Services that do not allow for data segmentation
- C . Any service that can be configured with namespaces
- D . Services that mandate single-tenancy
Which of the following are essential considerations when scaling Watson Assistant solutions across different geographies? (Select two)
- A . Localization of user interactions
- B . Consistent branding across regions
- C . Uniform data processing speeds
- D . Region-specific legal compliance
What is crucial when planning for Disaster Recovery?
- A . Ignoring potential threats and vulnerabilities
- B . Defining acceptable downtime and data loss
- C . Prioritizing less critical systems
- D . Ensuring minimal communication during recovery
When assessing migration requirements to Cloud Pak for Data, what key elements should be evaluated to ensure a seamless transition?
- A . Data compatibility and format
- B . Custom code and integrations
- C . Regulatory compliance impacts
- D . Training needs for users
How can multi-tenancy be achieved with multiple instances of Cloud Pak for Data?
- A . By deploying a single instance for all tenants
- B . Through dedicated instances per tenant for isolation
- C . Assigning all resources to a single tenant
- D . Avoiding namespace usage
In Data Stage, why is the choice of storage class important?
- A . It affects only the color scheme of the visualizations
- B . Influences data processing capabilities and speed
- C . Determines the storage class name length only
- D . Storage class choice is purely cosmetic
Which architectural consideration is crucial when deploying IBM Cloud Pak for Data on Red Hat OpenShift to ensure high availability?
- A . Network latency
- B . Pod colocation
- C . Resource quotas
- D . Storage class performance
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.
Why is it crucial to understand the benefits of watsonx.data over traditional data warehouses?
- A . To maximize data storage costs
- B . To reduce data processing speed
- C . To leverage advanced analytics and machine learning capabilities
- D . To limit scalability and flexibility
In Watson Discovery, what is the primary purpose of using query enrichment with machine learning models?
- A . To reduce the data ingestion rate
- B . To increase the storage requirements
- C . To enhance the accuracy of search responses
- D . To simplify the query language