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IBM C1000-173 Exam Overview:
| Certification Vendor: | IBM |
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| Exam Name: | IBM Cloud Pak for Data v4.7 Architect |
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| Exam Number: | C1000-173 |
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| Certificate Validity Period: | 3 Years |
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| Exam Duration: | 90 minutes |
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| Exam Format: | Scenario-based, Multiple Response, Multiple Choice |
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| Related Certifications: | IBM Certified Analyst - Cloud Pak for Data IBM Certified Data Engineer - Cloud Pak for Data IBM Certified Administrator - Cloud Pak for Data |
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| Available Languages: | English |
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| Passing Score: | 63% |
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| Real Exam Qty: | 63 |
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| Exam Price: | $250 USD |
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| Sample Questions: | IBM C1000-173 Sample Questions |
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| Exam Way: | Online proctored or at authorized Pearson VUE test centers |
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| Pre Condition: | No formal prerequisites required, but recommend having prior experience with IBM Cloud Pak for Data administration, Red Hat OpenShift Container Platform, and general data architecture principles. |
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| Official Syllabus URL: | https://www.ibm.com/certify/exam?id=173 |
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| Topic | Details |
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| Topic 1 | - Security Requirements: This domain targets a Security Architect and focuses on planning security for a Cloud Pak for Data deployment. It includes managing certificates that secure communications, identity management systems, and access and authorization controls to enforce secure and compliant user and service interactions. The auditing features and their integration with enterprise audit systems are crucial to ensure traceability and accountability. Asset interchange security involves safeguarding data movement between services.
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| Topic 2 | - Architect with Analytic Services: This domain targets a Data Analytics Architect and focuses on designing solutions using analytic components of Cloud Pak for Data. Architecting with DataStage involves creating data integration and ETL pipelines. Data Refinery architectures prepare and cleanse data for analysis. Db2 Big SQL solutions address querying large distributed data sets with SQL, facilitating analytics across diverse data sources.
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| Topic 3 | - Architect with Data Source Services: This domain measures expertise of a Data Integration Architect and includes architecting solutions with data replication technologies to synchronize data across systems. IBM Data Virtualization architecture enables access to and querying of disparate data sources without data movement. Architecting with watsonx.data focuses on building intelligent data lakes and query engines. Architecting with Db2-related services involves designing scalable data management and processing architectures using IBM's Db2 platforms.
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| Topic 4 | - Plan for a Cloud Pak for Data Implementation: This section of the exam measures the skills of an Implementation Consultant and covers determining which Cloud Pak for Data services to deploy based on organizational needs. It involves sizing the Kubernetes
- OpenShift cluster appropriately for workload demands and planning backup and restore strategies to ensure data protection. Planning for high availability and disaster recovery is essential to maintain uninterrupted service. Multi-tenancy requirements must be understood to support multiple user groups securely on shared infrastructure. Migration requirements need assessment to transition existing data and workloads smoothly.
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IBM Cloud Pak for Data v4.7 Architect Sample Questions (Q32-Q37):
NEW QUESTION # 32
What is the significance of using platform connections in Data Replication on Cloud Pak for Data?
- A. Complicates data integration processes
- B. Isolates data environments
- C. Enhances interoperability and ease of configuration
- D. Decreases connectivity with data sources and targets
Answer: C
NEW QUESTION # 33
In terms of managing security for data stores in Watson Assistant, what practices should be emphasized? (Select two)
- A. Encrypting all stored data, both at rest and in transit
- B. Using a public network for easier access
- C. Implementing role-based access control
- D. Regularly updating access credentials
Answer: A,D
NEW QUESTION # 34
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 # 35
How do storage classes affect Watson Discovery's performance?
- A. They modify the user interface theme
- B. By influencing indexing speed and query performance
- C. They have no impact on performance
- D. By changing the language of stored data
Answer: B
NEW QUESTION # 36
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 # 37
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