Free IBM Certified Architect C1000-173 Ultimate Study Guide (Updated 179 Questions) [Q100-Q118]

Free IBM Certified Architect C1000-173 Ultimate Study Guide (Updated 179 Questions)

Get to the Top with C1000-173 Practice Exam Questions

IBM C1000-173 Exam Syllabus Topics:

Topic	Details
Topic 1	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.
Topic 2	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.
Topic 3	Architect with Data Governance Services: This section evaluates skills of a Data Governance Specialist, covering the architecture of knowledge catalogs to enable data discovery and management. Data Privacy architectures ensure compliance with regulatory requirements around data protection. Knowledge Accelerators involve designing solutions that speed up data governance processes through predefined policies and templates.
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.
Topic 5	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.

 

NEW QUESTION # 100
Why is it important to differentiate between Metro-DR and Regional-DR in disaster recovery planning?

• A. To uniformly apply the same strategy across all locations
• B. To tailor the DR strategy to specific business needs and geographical risks
• C. To ensure inappropriate resource allocation
• D. To complicate the recovery process

Answer: B

NEW QUESTION # 101
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. Monitor project workload
• B. Manage platform
• C. Create projects
• D. Manage workflows
• E. Manage data protection rules

Answer: C,E

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 # 102
What is the purpose of profiling data in Data Refinery?

• A. Validating the data.
• B. Creating data visualizations.
• C. Loading data into a different location.
• D. Creating data backups.

Answer: A

Explanation:
Profiling data in Data Refinery is primarily used for validating the quality, structure, and characteristics of the dataset. It provides insights such as column data types, value distributions, null counts, and patterns, enabling users to detect anomalies, inconsistencies, or data quality issues before performing transformations or analytics. It is not intended for data loading (B), backups (C), or visualization (D), although it provides basic statistical overviews as part of validation.

NEW QUESTION # 103
Which of the following are crucial considerations when establishing API security? (Select two)

• A. Rate limiting
• B. Hardcoded credentials
• C. Encryption of data in transit
• D. Frequent password rotations

Answer: A,C

NEW QUESTION # 104
Why is tethering projects to the IBM Cloud Pak for Data control plane beneficial?

• A. It prevents any form of project organization
• B. It ensures all projects are untethered for greater flexibility
• C. Enhances project isolation while enabling resource access control
• D. Disallows resource monitoring and management

Answer: C

NEW QUESTION # 105
Which API allows the management of users, roles, and authentication, as well as monitors the status of the Cloud Pak for Data platform?

• A. Watson Data
• B. Alerting
• C. Credentials and Secrets
• D. Cloud Pak for Data Platform

Answer: D

NEW QUESTION # 106
Comparing data replication with an ETL tool, which feature is exclusive to data replication concerning real-time data changes?

• A. Deferred data update capabilities
• B. Immediate data synchronization
• C. Reduced data consistency
• D. Batch processing of data changes

Answer: B

NEW QUESTION # 107
Which set of DataStage features are primarily intended to improve reusability and flexibility?

• A. Schema drift support, Dynamic Workload Management, and ELT run mode.
• B. DataStage components, parameters, parameter sets, and environment variables.
• C. DataStage connectors, Qualitystage stages, and DataStage Pipeline components.
• D. Macros, DataStage APIs, and DataStage jobs

Answer: B

Explanation:
DataStage promotes modularity and reusability through the use of components such as job stages, parameters, parameter sets, and environment variables. Parameters and parameter sets allow dynamic configuration of jobs, enabling reuse across environments and reducing hardcoding. Environment variables allow users to define global job behavior across projects. These elements significantly enhance development efficiency and pipeline portability. Other features like schema drift and ELT modes support execution flexibility, but they are not primarily focused on reusability.

NEW QUESTION # 108
What is a primary consideration when designing a multi-tenant architecture?

• A. Data isolation between tenants
• B. Reducing the scalability of resources
• C. Ensuring data overlap between tenants
• D. Ensuring data overlap between tenants

Answer: A

NEW QUESTION # 109
When planning the integration of IBM Cloud Pak for Data with existing enterprise systems, which aspect is crucial for ensuring seamless connectivity and data exchange? (Select two)

• A. Network bandwidth
• B. User authentication mechanisms
• C. Data encryption standards
• D. API compatibility

Answer: A,D

NEW QUESTION # 110
When developing database applications with Db2/BigSQL and REST interfaces, what is crucial?

• A. Ensuring minimalistic graphical design
• B. Using exclusively proprietary software interfaces
• C. Facilitating efficient communication between the database layer and application
• D. Maximizing the use of synchronous operations

Answer: C

NEW QUESTION # 111
Why is data replication crucial for real-time data changes?

• A. To delay data updates
• B. To ensure data consistency across systems
• C. To increase data processing time
• D. To decrease data accuracy

Answer: B

NEW QUESTION # 112
What is a key feature of online storage options for IBM Cloud Pak for Data?

• A. Data is not accessible instantly
• B. Used primarily for archived data
• C. Lower performance compared to offline storage
• D. High availability and quick access to data

Answer: D

NEW QUESTION # 113
Which of the following IBM Cloud Pak for Data services are essential for real-time data analysis and decision-making? (Select two)

• A. Db2 Event Store
• B. Watson Studio
• C. Watson Knowledge Catalog
• D. Decision Optimization

Answer: A,D

NEW QUESTION # 114
How does utilizing namespaces in a single Cloud Pak for Data instance facilitate multi-tenancy?

• A. Providing logical separation between different tenant environments
• B. By allowing unrestricted access between different namespaces
• C. Ensuring there is no isolation between different tenant environments
• D. Treating all namespaces as a single entity without any differentiation

Answer: A

NEW QUESTION # 115
When designing a virtual agent using Watson Assistant, what is a critical factor to consider for ensuring effective user engagement?

• A. Minimizing the use of entities and intents
• B. Restricting the use of multi-turn conversations
• C. Providing context-aware responses
• D. Maximizing response time to user queries

Answer: C

NEW QUESTION # 116
In the context of Match 360, what is a significant factor for achieving a unified customer view?

• A. Integrating disparate data sources effectively
• B. Disregarding data source reliability
• C. Avoiding real-time data synchronization
• D. Focusing on a single data format

Answer: A

NEW QUESTION # 117
In the context of Cloud Pak for Data, what factors should be considered for accurately sizing a cluster?

• A. Geographic distribution of users
• B. Anticipated data volume
• C. Expected user load
• D. Data processing speed requirements

Answer: B,C,D

NEW QUESTION # 118
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