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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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| Available Languages: | English |
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| Certificate Validity Period: | 3 Years |
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| Exam Price: | $250 USD |
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| Related Certifications: | IBM Certified Analyst - Cloud Pak for Data IBM Certified Administrator - Cloud Pak for Data IBM Certified Data Engineer - Cloud Pak for Data |
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| Exam Duration: | 90 minutes |
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| Exam Format: | Multiple Choice, Multiple Response, Scenario-based |
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| Passing Score: | 63% |
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| Real Exam Qty: | 63 |
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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 | - 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 2 | - 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 3 | - Architect with AI Series: This section measures the skills of an AI Solution Architect and includes designing architectures for solutions involving various IBM Watson AI services. Architecting with Watson Assistant involves creating conversational AI interfaces. Watson Discovery solutions focus on building cognitive search and content analytics applications. Watson Pipelines solutions involve orchestrating data science workflows. Watson OpenScale architectures enable AI model monitoring and governance. Architecting with Match 360 supports personalized engagement by integrating multi-channel customer insights.
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| Topic 4 | - 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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IBM Cloud Pak for Data v4.7 Architect Sample Questions (Q161-Q166):
NEW QUESTION # 161
When assessing migration requirements to Cloud Pak for Data, what key elements should be evaluated to ensure a seamless transition?
- A. Custom code and integrations
- B. Data compatibility and format
- C. Training needs for users
- D. Regulatory compliance impacts
Answer: A,B,D
NEW QUESTION # 162
How do Cloud Pak for Data administrators obtain access to Match 360?
- A. Administrative users automatically have access.
- B. Each user who is assigned to a service group has access.
- C. Administrative users must belong to the appropriate service group.
- D. Each user is automatically granted read access.
Answer: C
Explanation:
Access to Match 360 within IBM Cloud Pak for Data is role-based and governed by service groups. Even administrative users are not granted automatic access unless they are explicitly assigned to the appropriate Match 360 service group. This allows fine-grained control over who can access master data management capabilities. Service group membership defines the roles and privileges needed for interacting with Match 360 functionalities like entity resolution and golden record management.
NEW QUESTION # 163
What outcomes can be achieved from Match 360?
- A. Produces a AI based dashboard to let users analyze business data.
- B. Produces statistics and graphs to let users analyze and explore master data.
- C. Connect disparate data sources to provide a virtual view of your data.
- D. Uses a dialog format to talk with your data to get insights.
Answer: B
Explanation:
Match 360 is IBM's master data management (MDM) service integrated into Cloud Pak for Data.
It produces master data views along with statistics, graphs, and insights that allow users to explore, analyze, and understand their master data entities (e.g., customers, products). While it does integrate data from disparate sources, its focus is on consolidating and providing master data analysis rather than virtual views (B) or conversational analytics (A).
NEW QUESTION # 164
In terms of managing security for data stores in Watson Assistant, what practices should be emphasized? (Select two)
- A. Implementing role-based access control
- B. Regularly updating access credentials
- C. Encrypting all stored data, both at rest and in transit
- D. Using a public network for easier access
Answer: B,C
NEW QUESTION # 165
How does the IBM Data Virtualization service virtualize files in shared directories?
- A. A remote connector is installed and run on the source server.
- B. Administrators configure FTP connections to the file source.
- C. Users add shared file systems in the UI.
- D. It scans its network for open file shares.
Answer: A
Explanation:
To virtualize files that reside in shared directories (e.g., NFS, SMB, or other on-premises sources), IBM Data Virtualization uses a remote connector agent. This remote connector is installed and executed on the source server to enable secure access and metadata extraction. The service does not scan networks automatically nor rely on FTP. Directly adding file shares via the UI is not sufficient without the backend connector in place, which acts as a secure communication bridge.
NEW QUESTION # 166
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