Top IBM C1000-173 Courses Online - Updated [Sep-2025]
C1000-173 Practice Dumps - Verified By Prep4sureGuide Updated 179 Questions
NEW QUESTION # 68
In the context of auditing, what does immutable logging ensure?
- A. Non-repudiation
- B. Log storage optimization
- C. High availability
- D. User authentication
Answer: A
NEW QUESTION # 69
What is used to monitor workloads when running Db2 Warehouse as a Cloud Pak for Data service?
- A. Db2 Administration Framework
- B. Db2 Control Center
- C. Db2 Data Management Console
- D. Db2 Graph server
Answer: C
NEW QUESTION # 70
For ensuring high availability and disaster recovery in Cloud Pak for Data, which of the following components should be made redundant?
- A. User access portals
- B. Application servers
- C. Network paths
- D. Data storage
Answer: B,C,D
NEW QUESTION # 71
What scenario best illustrates the effective use of Db2 Graph services?
- A. Managing complex relationships and pattern recognition
- B. For basic CRUD operations without relationships
- C. Simple data aggregation without the need for graph theory
- D. When handling flat, tabular data
Answer: A
NEW QUESTION # 72
In the context of Db2 services, which two authentication methods ensure secure API access?
- A. OAuth 2.0
- B. API keys
- C. Basic authentication
- D. Unencrypted credentials
Answer: A,C
NEW QUESTION # 73
In the context of Match 360, what is a significant factor for achieving a unified customer view?
- A. Focusing on a single data format
- B. Integrating disparate data sources effectively
- C. Disregarding data source reliability
- D. Avoiding real-time data synchronization
Answer: B
NEW QUESTION # 74
What key features should be emphasized when integrating Watson OpenScale for AI model monitoring? (Select two)
- A. Continuous model performance monitoring
- B. Dynamic resource allocation
- C. Bias detection and mitigation
- D. Manual model tuning requirements
Answer: A,C
NEW QUESTION # 75
Are there any special considerations for the client to migrate existing server jobs to DataStage in Cloud Pak for Data?
- A. Server jobs migrate with no changes.
- B. Server jobs can be converted to parallel jobs prior to migration using MettleCI.
- C. Server jobs are automatically migrated to Watson Pipeline flows.
- D. Server jobs migrate directly to parallel jobs that always require modification.
Answer: B
Explanation:
Legacy DataStage server jobs are not automatically compatible with DataStage on Cloud Pak for Data, which uses a parallel engine architecture. MettleCI is the recommended tool to convert server jobs into parallel jobs before migration. This conversion allows reusability and ensures the migrated jobs can run efficiently in the CP4D environment. Direct migration without modification (option D) is not possible, and they do not migrate to Watson Pipelines (option A).
NEW QUESTION # 76
What is the primary goal of High Availability in computing environments?
- A. To minimize downtime and prevent data loss
- B. To ensure a system operates at its peak capacity
- C. To maximize system downtime
- D. To reduce the efficiency of backup processes
Answer: A
NEW QUESTION # 77
In what ways can data ingestion into watsonx.data be optimized for better performance?
- A. Leveraging both batch and real-time data ingestion
- B. By only using real-time data streaming
- C. Ignoring data quality during ingestion
- D. Utilizing manual processes for data integration
Answer: A
NEW QUESTION # 78
What is the significance of planning an environment for multiple Cloud Pak deployments?
- A. Customizing each deployment based on tenant needs and usage patterns
- B. Avoiding the use of projects and namespaces for simplicity
- C. Ensuring a one-size-fits-all approach to resource allocation
- D. To reduce the operational complexity and management overhead
Answer: A
NEW QUESTION # 79
Which two Cloud Pak for Data predefined roles are used to define DataStage access?
- A. Reporting Administrator
- B. DataStage Developer
- C. Governance Steward
- D. Business Analyst
- E. Data Steward
Answer: B,E
Explanation:
In IBM Cloud Pak for Data, DataStage access is managed using predefined roles that grant specific permissions. The DataStage Developer role is explicitly designed to allow users to create and manage DataStage flows. The Data Steward role is involved in managing data access, lineage, and metadata, which supports governance aspects within DataStage projects. Business Analyst and Governance Steward roles are focused on cataloging and governance workflows, not DataStage design or execution. Reporting Administrator is not applicable in this context.
NEW QUESTION # 80
How does utilizing namespaces in a single Cloud Pak for Data instance facilitate multi-tenancy?
- A. Providing logical separation between different tenant environments
- B. Ensuring there is no isolation between different tenant environments
- C. Treating all namespaces as a single entity without any differentiation
- D. By allowing unrestricted access between different namespaces
Answer: A
NEW QUESTION # 81
What statement is true about tethered projects?
- A. A tethered project cannot have its own NetworkPolicies, SecurityContext and ResourceQuota.
- B. All Cloud Pak for Data services support running workloads or service instances in tethered projects.
- C. Use tethered projects to isolate service instances or workloads from the rest of the Cloud Pak for Data deployment.
- D. Tethered projects can be shared by multiple instances of Cloud Pak for Data.
Answer: C
NEW QUESTION # 82
What must be created to enable the Cloud Pak for Data platform to use a company's custom CA certificate to validate certificates from internal servers?
- A. A configmap that contains the company's CA certificate.
- B. A secret that contains the company's CA certificate.
- C. A configmap that contains all internal server certificate chains.
- D. A secret containing a wildcard certificate for all internal servers.
Answer: A
Explanation:
To enable IBM Cloud Pak for Data to trust certificates from internal servers using a custom Certificate Authority (CA), the correct method is to create a Kubernetes ConfigMap that contains the CA certificate. This ConfigMap is referenced by the platform's foundational services to include the CA in the trusted root store.
Secrets are typically used for storing sensitive data like private keys and TLS certificates but are not used for adding trusted root CAs at the platform level. A ConfigMap is explicitly required by the platform to inject the CA trust into the certificate validation chain.
NEW QUESTION # 83
Which Cloud Pak for Data service is used to cleanse and shape tabular data?
- A. Data Wrangler
- B. Data Refinery
- C. Watson Data
- D. Data Manager
Answer: B
Explanation:
Data Refinery is the dedicated data preparation service in IBM Cloud Pak for Data. It enables users to cleanse, shape, filter, and enrich tabular datasets through a graphical interface. Users can create data preparation flows that integrate seamlessly with Watson Studio and other services. Data Manager and Data Wrangler are not services available in CP4D, and Watson Data is not a recognized component. Data Refinery is the officially supported tool for this purpose.
NEW QUESTION # 84
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