C1000-173 Braindumps Real Exam Updated on Dec 03, 2025 with 179 Questions
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IBM C1000-173 Exam Syllabus Topics:
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NEW QUESTION # 10
Which option is supported for backing up and restoring Cloud Pak for Data on a FIPS-enabled cluster?
- A. Watson Backup Assistant
- B. Online backup and restore to a different cluster
- C. Online backup and restore to the same cluster
- D. Snap and Restore Tool
Answer: C
Explanation:
For Cloud Pak for Data deployed on a FIPS-enabled cluster, the supported method for backup and restore is the online backup and restore to the same cluster. This method ensures that the data and configuration remain compliant with FIPS encryption standards. Offline and cross-cluster restore methods are not supported under FIPS constraints due to strict requirements around key handling and encryption. The Snap and Restore Tool and Watson Backup Assistant are not applicable to this context.
NEW QUESTION # 11
Which of the following are considered when determining the correct storage options for IBM Cloud Pak for Data?
- A. Cost-effectiveness only
- B. Color schemes of storage UI
- C. Aesthetics of the storage interface
- D. Performance and scalability
Answer: D
NEW QUESTION # 12
When architecting a solution with Match 360, what is a crucial aspect to ensure data quality and consistency?
- A. Limiting data source variety
- B. Implementing comprehensive entity resolution capabilities
- C. Avoiding real-time data updates
- D. Decreasing data transparency
Answer: B
NEW QUESTION # 13
What makes a multi-engine architecture advantageous in watsonx.data?
- A. Reduced data security
- B. Increased system complexity
- C. Limited data processing capabilities
- D. Enhanced query optimization across different engines
Answer: D
NEW QUESTION # 14
When evaluating Cloud Pak for Data, what are the potential advantages of choosing a SaaS model over a non-SaaS model?
- A. Enhanced scalability
- B. More control over infrastructure
- C. Lower initial costs
- D. Faster deployment
Answer: A,C,D
NEW QUESTION # 15
Which Cloud Pak for Data predefined role has permission to create service instances?
- A. Reporting Administrator
- B. Data Steward
- C. Data Scientist
- D. Data Engineer
Answer: D
NEW QUESTION # 16
What is the primary function of IBM Watson Assistant?
- A. To manage large data sets efficiently
- B. To provide cloud storage solutions
- C. To build conversational interfaces for applications
- D. To enhance physical robotics with AI capabilities
Answer: C
NEW QUESTION # 17
What is the primary goal of High Availability in computing environments?
- A. To reduce the efficiency of backup processes
- B. To maximize system downtime
- C. To minimize downtime and prevent data loss
- D. To ensure a system operates at its peak capacity
Answer: C
NEW QUESTION # 18
Which statement is true about governing data lakes in IBM Knowledge Catalog?
- A. It increases the time and effort required for data discovery and cataloging.
- B. It relies on manual processes for accessing enterprise data.
- C. All data is masked with no user intervention.
- D. It automates data discovery and provides access to enterprise data through virtualization.
Answer: D
Explanation:
Within IBM Knowledge Catalog as part of IBM Cloud Pak for Data, governing data lakes is enabled via integration with Data Virtualization. This approach supports automated data discovery, cataloging, tagging, and virtualization, allowing users to access enterprise data virtually-without physical movement. Policies and governance metadata are applied automatically to virtualized assets, enabling secure and efficient data consumption. Manual processes are not required for discovery, and data is masked selectively based on policies-not completely masked without user intervention. Thus automation and virtualization are central, making statement B correct.
NEW QUESTION # 19
When granting a user access to the Data Engineer role, which two permissions will the user be associated with as part of this role?
- A. Create projects
- B. Manage data protection rules
- C. Manage platform
- D. Manage workflows
- E. Monitor project workload
Answer: A,B
Explanation:
The Data Engineer role in IBM Cloud Pak for Data includes permissions necessary for managing the data pipeline lifecycle. This includes the ability to create projects, manage data assets, and configure data protection rules, which are critical for ensuring data privacy and governance. The role does not include platform-level administrative privileges like managing the platform or monitoring all workloads. Workflow management is typically assigned to users with broader project or orchestrator roles.
NEW QUESTION # 20
When planning the implementation of Cloud Pak for Data, which of the following services might be considered essential based on the business requirements?
- A. Network monitoring
- B. AI workflows
- C. Storage optimization
- D. Data governance
Answer: B,D
NEW QUESTION # 21
What are the critical metrics to understand in a Disaster Recovery plan?
- A. System Downtime Duration (SDD) and Data Access Time (DAT)
- B. Recovery Time Objective (RTO) and Recovery Point Objective (RPO)
- C. Maximum Tolerable Downtime (MTD) and Minimum Necessary Downtime (MND)
- D. Peak Load Time (PLT) and Off-Peak Recovery Time (OPRT)
Answer: B
NEW QUESTION # 22
Which mechanisms are essential in a robust access and authorization system? (Select two)
- A. Password complexity requirements
- B. Automated user activity monitoring
- C. Multi-factor authentication
- D. Social engineering training
Answer: A,C
NEW QUESTION # 23
What is a key feature of Data Replication on Cloud Pak for Data?
- A. Difficult to use interface
- B. Lack of integration with platform security
- C. Agentless architecture
- D. Requires complex agent-based architectures
Answer: C
NEW QUESTION # 24
In DataStage, how is workload management typically achieved?
- A. By prioritizing workloads based solely on data volume
- B. By employing external workload management tools
- C. Through an automated, policy-driven approach
- D. By manually distributing tasks across nodes
Answer: C
NEW QUESTION # 25
In deciding between managed and self-managed OpenShift for Cloud Pak for Data, what are key factors to consider?
- A. In-house technical expertise
- B. Desired level of control over the environment
- C. Cost considerations
- D. Compliance requirements
Answer: A,B,C
NEW QUESTION # 26
Which of the following are crucial considerations when establishing API security? (Select two)
- A. Rate limiting
- B. Encryption of data in transit
- C. Hardcoded credentials
- D. Frequent password rotations
Answer: A,B
NEW QUESTION # 27
When developing database applications with Db2/BigSQL and REST interfaces, what is crucial?
- A. Maximizing the use of synchronous operations
- B. Ensuring minimalistic graphical design
- C. Using exclusively proprietary software interfaces
- D. Facilitating efficient communication between the database layer and application
Answer: D
NEW QUESTION # 28
In Data Stage, why is the choice of storage class important?
- A. Determines the storage class name length only
- B. Influences data processing capabilities and speed
- C. Storage class choice is purely cosmetic
- D. It affects only the color scheme of the visualizations
Answer: B
NEW QUESTION # 29
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. GitHub Repo
- B. Command Line Interface (CLI)
- C. Cloud Providers Marketplace
- D. PowerShell
Answer: B
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 # 30
An architect is working with a team to configure Dynamic Workload Management for a single DataStage instance on Cloud Pak for Data.
Auto-scaling has been disabled and the maximum concurrent jobs has been set to 5.
What will happen if a sixth concurrent job is executed?
- A. The sixth job will start if resources are available and will automatic.
- B. The sixth job will queue until one of the other concurrent jobs completes.
- C. The sixth job will fail and will need to be restarted.
Answer: B
Explanation:
InIBM Cloud Pak for Data version 4.7, when configuring Dynamic Workload Management (DWM) for IBM DataStage, the system controls job concurrency based on the maximum concurrent jobs setting and auto- scaling configuration.
* Withauto-scaling disabled, the system does not add or remove DataStage engine pods dynamically to handle workload changes.
* Themaximum concurrent jobssetting limits the number of jobs that can run simultaneously on a single DataStage instance.
* If the number of concurrent jobs reaches the maximum limit (in this case, 5), any additional job requests (such as the sixth job) willnot fail immediately; instead, these jobs are placed in aqueue.
* The queued jobs remain pending until one of the running jobs completes, freeing up capacity for the next job to start.
This queuing behavior ensures workload stability and prevents resource exhaustion by enforcing the concurrency limit strictly when auto-scaling is turned off.
Exact extract from IBM Cloud Pak for Data 4.7 documentation:
"When auto-scaling is disabled, the maximum concurrency limit set on the DataStage instance controls how many jobs can run simultaneously. Jobs submitted beyond this limit are queued and wait for running jobs to complete before starting execution."
-IBM Cloud Pak for Data v4.7, DataStage Dynamic Workload Management section References:
IBM Cloud Pak for Data 4.7 Documentation - DataStage and Dynamic Workload Management IBM Knowledge Center for Cloud Pak for Data v4.7: https://www.ibm.com/docs/en/cloud-paks/cp-data/4.7?
topic=management-dynamic-workload
NEW QUESTION # 31
Which type of OpenShift route configuration supports client certificate authentication?
- A. Re-encrypt
- B. Re-encrypt with a custom certificate
- C. Edge
- D. Passthrough
Answer: D
Explanation:
Passthrough route configuration on OpenShift is the only route type that preserves the original TLS connection from the client to the backend service. This is essential for supporting client certificate authentication, as the certificate must be passed directly to the application without termination or inspection at the router level. Edge and Re-encrypt routes terminate the TLS connection at the OpenShift router or re- encrypt it with a new certificate, making them unsuitable for mutual TLS (mTLS) or client certificate scenarios.
NEW QUESTION # 32
An enterprise architect in a financial institute is deciding on the deployment option for Cloud Pak for Data on their existing OpenShift Container Platform cluster.
They have decided to use an automated deployment option and install Cloud Pak for Data from the cloud provider's marketplace. What are the limitations they may face with this decision?
- A. Cloud Pak for Data cannot be installed on an existing cluster.
- B. Automatic installation cannot be done for any of the Cloud Pak for Data services.
- C. Cloud Pak for Data operators cannot be co-located with the IBM Cloud Pak foundational services operators.
- D. Partial installation of the Cloud Pak for Data has to be done manually for the first time installation.
Answer: D
Explanation:
According to theIBM Cloud Pak for Data 4.7 Installation Guideand official IBM documentation, when deploying Cloud Pak for Data (CP4D) via a cloud provider marketplace (such as Red Hat OpenShift OperatorHub or a cloud marketplace), the deployment process offers an automated installation method that simplifies the setup. However, there are certain limitations and manual steps that may be required during the initial installation phase.
* CP4D supports installation on an existing OpenShift Container Platform cluster, so option A is incorrect.
* Some core services and operators, including foundational services, can be installed automatically via operators, so option B is incorrect.
* Cloud Pak for Data operators and IBM foundational services operators can coexist in the same OpenShift cluster, so option C is incorrect.
* Theofficial installation documentation for version 4.7specifies that the initial installation requires manual intervention for partial installation - for example, manually setting up foundational services or configuring specific operators before automated installation of the rest of the platform can continue smoothly. This partial manual setup is especially relevant when using marketplace deployment to ensure all prerequisites and configurations are met.
Exact extract from IBM Cloud Pak for Data 4.7 Installation documentation:
"When deploying Cloud Pak for Data via the OperatorHub or cloud marketplace, the initial setup requires manual installation of foundational services operators and configuration of the cluster environment before proceeding with the automated installation of Cloud Pak for Data services. Thispartial manual step ensures proper configuration and avoids conflicts during automated deployment."
-IBM Cloud Pak for Data Installation Guide v4.7, section "Installing from OperatorHub and Marketplace" References:
IBM Cloud Pak for Data 4.7 Installation Guide (https://www.ibm.com/docs/en/cloud-paks/cp-data/4.7?
topic=deployment-installing-from-operatorhub-marketplace)
IBM Knowledge Center for Cloud Pak for Data 4.7
NEW QUESTION # 33
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