C1000-173 IBM Cloud Pak for Data V4 7 Architect Exam Dumps Questions

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IBM Cloud Pak for Data V4.7 Architect C1000-173 exam free dumps
questions are available below for you to study. 
Full version: C1000-173 Exam Dumps Questions
1.For ensuring high availability and disaster recovery in Cloud Pak for Data, which of the following
components should be made redundant?
A. Data storage
B. Application servers
C. Network paths
D. User access portals
Answer: ABC
2.In the context of Cloud Pak for Data, what factors should be considered for accurately sizing a
cluster?
A. Anticipated data volume
B. Expected user load
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C. Geographic distribution of users
D. Data processing speed requirements
Answer: ABD
3.How does utilizing namespaces in a single Cloud Pak for Data instance facilitate multi-tenancy?
A. By allowing unrestricted access between different namespaces
B. Ensuring there is no isolation between different tenant environments
C. Providing logical separation between different tenant environments
D. Treating all namespaces as a single entity without any differentiation
Answer: C
4.In terms of managing security for data stores in Watson Assistant, what practices should be
emphasized? (Select two)
A. Regularly updating access credentials
B. Encrypting all stored data, both at rest and in transit
C. Using a public network for easier access
D. Implementing role-based access control
Answer: AB
5.When planning an environment for multiple Cloud Pak deployments, what is crucial?
A. Ensuring all deployments share the same resources
B. Ignoring the specific needs and scale of each deployment
C. Tailoring resource allocation and access controls per deployment
D. Combining all user data into a single deployment for ease of access
Answer: C
6.For achieving optimal performance in IBM Cloud Pak for Data, which storage solution should be
utilized for analytical workloads requiring high IOPS?
A. File storage
B. Block storage
C. Object storage
D. SSD-based storage
Answer: D
7.Understanding instance limitations in Watson Assistant is critical for what reason?
A. To optimize budget allocation for cloud resources
B. To ensure compliance with data protection regulations
C. To maximize the performance of machine learning models
D. To prevent overutilization of computational resources
Answer: A
8.What is the significance of planning an environment for multiple Cloud Pak deployments?
A. To reduce the operational complexity and management overhead
B. Ensuring a one-size-fits-all approach to resource allocation
C. Customizing each deployment based on tenant needs and usage patterns
D. Avoiding the use of projects and namespaces for simplicity
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Answer: C
9.What is a primary consideration when designing a multi-tenant architecture?
A. Ensuring data overlap between tenants
B. Ensuring data overlap between tenants
C. Data isolation between tenants
D. Reducing the scalability of resources
Answer: C
10.In Watson Discovery, what is the primary purpose of using query enrichment with machine
learning models?
A. To reduce the data ingestion rate
B. To increase the storage requirements
C. To enhance the accuracy of search responses
D. To simplify the query language
Answer: C
11.How do storage classes in IBM Cloud Pak for Data impact application performance?
A. They have no impact on performance
B. By defining the availability and durability of data
C. By changing the color of the storage interface
D. By altering the user access levels only
Answer: B
12.Why is it essential to integrate Watson OpenScale in an AI solution architecture?
A. To reduce the computation power required
B. To provide AI model fairness, explainability, and audit trails
C. To increase data encryption standards
D. To diminish the role of data scientists
Answer: B
13.Which components of IBM Cloud Pak for Data are essential for implementing an end-to-end data
science workflow?
A. Data Refinery and Watson Studio
B. Watson Knowledge Catalog and DataStage
C. Decision Optimization and Streams
D. Watson Studio and Watson Machine Learning
Answer: D
14.What signifies the business value of Db2/BigSQL?
A. Its ability to restrict data access to a limited number of users
B. Its capacity to handle large volumes of data efficiently
C. Its role in reducing the graphical user interface quality
D. Its function in increasing data processing time
Answer: B
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15.How does Watson Discovery support effective knowledge management in an enterprise?
A. By prioritizing data deletion
B. By enabling intuitive data archiving
C. By facilitating deep insights extraction from complex documents
D. By limiting access to structured data only
Answer: C
16.What is Continuous Availability in the context of system design?
A. Ensuring systems are never updated or maintained
B. Achieving near-zero downtime and data loss
C. Allowing occasional system failures without backup
D. Planning for frequent and prolonged outages
Answer: B
17.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: AC
18.Which Cloud Pak for Data predefined role has permission to create service instances?
A. Data Steward
B. Data Engineer
C. Data Scientist
D. Reporting Administrator
Answer: B
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