
C1000-173 Dumps Free Test Engine Player Verified Updated [May 19, 2026]
Q&As with Explanations Verified & Correct Answers
IBM C1000-173 Exam Syllabus Topics:
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NEW QUESTION # 95
How does Cloud Pak for Data leverage OpenShift to enhance service availability?
- A. Ignoring cluster health and resource allocation
- B. By limiting the deployment of containerized applications
- C. Through automatic failover and recovery mechanisms
- D. By reducing system scalability and redundancy
Answer: C
NEW QUESTION # 96
What is the primary purpose of certificate revocation in a certificate management system?
- A. To renew certificates automatically
- B. To extend the validity of a certificate
- C. To update certificate information
- D. To indicate that a certificate is no longer trustworthy
Answer: D
NEW QUESTION # 97
What is the primary goal of High Availability in computing environments?
- A. To maximize system downtime
- B. To ensure a system operates at its peak capacity
- C. To reduce the efficiency of backup processes
- D. To minimize downtime and prevent data loss
Answer: D
NEW QUESTION # 98
When planning to expose REST-based APIs for Db2, what is an essential consideration for the route configuration?
- A. Route hardcoding within the application
- B. Static route assignment
- C. Dynamic route adjustment based on traffic
- D. Inconsistent route naming conventions
Answer: C
NEW QUESTION # 99
A Cloud Pak for Data installation was initially deployed on Microsoft Azure via the automated deployment option. What can be used to upgrade the environment?
- A. PowerShell
- B. GitHub Repo
- C. Command Line Interface (CLI)
- D. Cloud Providers Marketplace
Answer: C
Explanation:
For environments deployed via automated cloud options (such as Azure or AWS), upgrades are performed using the Command Line Interface (CLI). The CLI allows administrators to pull the latest operators, update foundational services, and upgrade installed services. The cloud marketplace is used only for initial provisioning, not for upgrades. PowerShell and GitHub repositories are not used as upgrade mechanisms within the official CP4D deployment lifecycle.
NEW QUESTION # 100
What is a critical aspect of monitoring DB2 services to enable efficient user querying?
- A. Providing insights into query execution and performance
- B. Ensuring that only DB administrators can monitor the system
- C. Ignoring query performance metrics
- D. Disabling user access to monitoring tools
Answer: A
NEW QUESTION # 101
What is used to monitor workloads when running Db2 Warehouse as a Cloud Pak for Data service?
- A. Db2 Graph server
- B. Db2 Data Management Console
- C. Db2 Control Center
- D. Db2 Administration Framework
Answer: B
NEW QUESTION # 102
Which features of the IBM Knowledge Catalog service are unavailable with the Data Governance Express offering?
- A. Semantic search and metadata analysis
- B. Data quality features in analytics projects and ETL
- C. Lineage and semantic search
- D. Advanced metadata export and lineage
Answer: D
Explanation:
IBM Knowledge Catalog's Data Governance Express offering is a lightweight configuration meant for streamlined governance needs. It includes core capabilities like cataloging and basic lineage but does not support advanced metadata export or full-scale lineage visualization and tracking features. These advanced features are only available in the full IBM Knowledge Catalog service. The Express tier is designed for simpler use cases and quicker onboarding with limited governance overhead.
NEW QUESTION # 103
A customer wants to manage Cloud Pak for Data secrets via an existing supported vault system. What is needed to integrate any supported vault systems into Cloud Pak for Data?
- A. Fully qualified URL of the vault.
- B. Username and password of the vault.
- C. Client key in .key or .pem format to authenticate to the vault.
- D. Client certificate to authenticate to the vault.
Answer: A
Explanation:
To integrate a supported vault system withIBM Cloud Pak for Data, thefully qualified URLof the external vault is a required component for establishing communication between Cloud Pak for Data and the vault. This is typically configured in theexternal secrets managersettings.
While authentication credentials (like client certificates or keys) are also necessarydepending on the authentication method used, thefully qualified URLis universally required to locate and connect to the vault.
IBM Cloud Pak for Data supports integration with vaults such as:
* HashiCorp Vault
* AWS Secrets Manager
* Azure Key Vault
* IBM Key Protect
For more details, refer to:
IBM Cloud Pak for Data: Using external secrets managers
NEW QUESTION # 104
Which of the following are essential considerations when scaling Watson Assistant solutions across different geographies? (Select two)
- A. Consistent branding across regions
- B. Region-specific legal compliance
- C. Localization of user interactions
- D. Uniform data processing speeds
Answer: B,C
NEW QUESTION # 105
Which of the following best describes the importance of encryption of data at rest in IBM Cloud Pak for Data?
- A. Decreases data retrieval time
- B. Enhances visual appeal of the data
- C. Protects sensitive information from unauthorized access
- D. It is optional for all types of data
Answer: C
NEW QUESTION # 106
In the context of Db2 services, which two authentication methods ensure secure API access?
- A. Unencrypted credentials
- B. API keys
- C. OAuth 2.0
- D. Basic authentication
Answer: C,D
NEW QUESTION # 107
Which two Cloud Pak for Data services support the multi-tenancy mechanism of installing the service once and provisioning the workloads in tethered projects?
- A. Cognos Analytics
- B. Watson Pipelines
- C. Db2
- D. IBM Data Virtualization
- E. Analytics Engine Powered by Apache Spark
Answer: D,E
Explanation:
Cloud Pak for Data supports service-level multi-tenancy by enabling some services to be installed centrally and then provisioned into user "tethered" namespaces (projects). In version 4.7, Analytics Engine (Apache Spark) and IBM Data Virtualization services support this tethered#project model: they can be installed once and then instantiated per project across multiple tenants. Core services like Db2, Cognos Analytics, and Watson Pipelines in 4.7 require installation per instance and do not yet support tethered#namespace provisioning via multi#tenant model.
NEW QUESTION # 108
What is a Data Refinery flow in Cloud Pak for Data?
- A. A visualization tool.
- B. A data storage location.
- C. A machine learning model.
- D. An ordered set of data operations.
Answer: D
Explanation:
A Data Refinery flow is an ordered sequence of data operations applied to tabular data for preparation, cleansing, and transformation. Users can create a series of steps such as filtering, joining, aggregating, and applying custom expressions. The flow is saved and can be rerun on updated datasets to ensure consistency in data preparation. It is not a storage system (A), an ML model (B), or a visualization tool (D).
NEW QUESTION # 109
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 configmap that contains all internal server certificate chains.
- C. A secret that contains the company's CA certificate.
- 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 # 110
Are there any special considerations for the client to migrate existing server jobs to DataStage in Cloud Pak for Data?
- A. Server jobs can be converted to parallel jobs prior to migration using MettleCI.
- B. Server jobs are automatically migrated to Watson Pipeline flows.
- C. Server jobs migrate directly to parallel jobs that always require modification.
- D. Server jobs migrate with no changes.
Answer: A
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 # 111
What is a primary benefit of using watsonx.data over traditional data warehouse solutions?
- A. Reduced data flexibility
- B. Increased data redundancy
- C. Lower data latency
- D. Limited data scalability
Answer: C
NEW QUESTION # 112
When architecting a solution with Match 360, what is a crucial aspect to ensure data quality and consistency?
- A. Decreasing data transparency
- B. Implementing comprehensive entity resolution capabilities
- C. Limiting data source variety
- D. Avoiding real-time data updates
Answer: B
NEW QUESTION # 113
In a multi-tenant Cloud Pak for Data environment, which aspects are critical to ensure efficient resource allocation and isolation?
- A. Dedicated network resources per tenant
- B. Customizable user interfaces
- C. Isolated data storage
- D. Resource quotas per tenant
Answer: A,C,D
NEW QUESTION # 114
Which architectural consideration is crucial when deploying IBM Cloud Pak for Data on Red Hat OpenShift to ensure high availability?
- A. Network latency
- B. Storage class performance
- C. Resource quotas
- D. Pod colocation
Answer: B
NEW QUESTION # 115
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