最新 [2026年01月02日] 100%合格率を保証します素晴らしいC1000-173試験問題PDF [Q101-Q120]

最新 [2026年01月02日] 100%合格率を保証します素晴らしいC1000-173試験問題PDF

C1000-173認定有効な試験問題集解答で学習ガイド！（最新の179問題)

IBM C1000-173 認定試験の出題範囲：

トピック	出題範囲
トピック 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.
トピック 2	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.
トピック 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.
トピック 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.
トピック 5	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.

 

質問 # 101
What is the default schedule for the diagnostics monitor when using the Alerting APIs?

• A. Every 5 minutes
• B. Every 15 minutes
• C. Every 10 minutes
• D. Every 30 minutes

正解：C

解説：
You can use the IBM Software Hub monitoring and alerting framework to monitor the state of the platform.
You can set up events to alert when action is needed, based on thresholds that you define.
By default, IBM Software Hub is initialized with one monitor that runs every ten minutes. The diagnostic monitor records the status of deployments, StatefulSets, and persistent volume claims. It also tracks your system usage of virtual processors (vCPUs) and memory. The data that is collected can be used for analysis and to alert customers in a production environment based on set alert rules.

質問 # 102
Which of the following is a benefit of multi-tenancy in cloud environments?

• A. Decreased operational efficiency
• B. Increased resource consumption per tenant
• C. Compromised data security between tenants
• D. Cost reduction by sharing infrastructure

正解：D

質問 # 103
Which Watson Pipeline component puts a value in columns so it can be consumed by DataStage?

• A. Prepare User Parameters
• B. Initialize User Values
• C. Set User Variables
• D. Instantiate User Columns

正解：C

解説：
In Watson Pipelines, the component that enables users to define and assign values that can be referenced later in the pipeline-including by downstream components like DataStage-is Set User Variables. This component allows the user to create name-value pairs and store them as environment variables, which are accessible to DataStage and other execution blocks. This ensures dynamic parameter passing and enhances pipeline reusability. The other options listed do not correspond to valid Watson Pipeline components as defined in the official Cloud Pak for Data 4.7 release.

質問 # 104
In an air-gapped environment, what is a primary security measure?

• A. Physical access controls
• B. Frequent online software updates
• C. Continuous internet monitoring
• D. Use of cloud-based services

正解：A

質問 # 105
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

正解：B、C、D

質問 # 106
Why is tethering projects to the IBM Cloud Pak for Data control plane beneficial?

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

正解：A

質問 # 107
If a Cloud Pak for Data cluster is air-gapped, it is unable to reach the internet, and a private registry must be configured for installations and upgrades. Beyond container images, what other components need to be addressed?

• A. Platform monitoring messages are sent via an internet messaging hub.
• B. License validation requires periodic updates via internet proxy.
• C. Data movement between nodes must be blocked via firewall rules.
• D. Utilities, like pip, still require a connection to the internet by default.

正解：D

解説：
In air-gapped (offline) environments, it's not just the container images that require preparation. Package managers like pip (for Python) and other utilities commonly attempt to pull dependencies from public internet repositories. These must be redirected to internal mirrors or handled via offline bundles. If left unaddressed, certain operations within components like Jupyter notebooks, Watson Studio, or pipelines may fail. License validation and monitoring do not inherently require internet access, and data movement between nodes is part of normal cluster function-not something to be blocked.

質問 # 108
What advantage does data replication hold over ETL tools for multi-site data distribution?

• A. Centralized data storage
• B. Immediate data availability across sites
• C. Increased data isolation
• D. Slower data dissemination

正解：B

質問 # 109
When planning for the data management console in Db2, what functionality is crucial for effective database management?

• A. Comprehensive monitoring and management features
• B. Avoiding integration with other Db2 services
• C. Restricting user access to essential functionalities only
• D. Limited visibility over data and queries

正解：A

質問 # 110
What endpoint will an application use to interact with Db2 Big SQL?

• A. Dynamic Representative Endpoint Activation Mobility (DREAM)
• B. Representative State Transfer (REST) Endpoint
• C. System Local Efficient Endpoint Pathways (SLEEP)
• D. Simple Normalized Optimum Representative Endpoint (SNORE)

正解：B

解説：
Applications interact with Db2 Big SQL using industry-standard protocols. The most common and supported interface is through a REST (Representative State Transfer) API endpoint. REST endpoints allow for external applications to query, manage, and manipulate data within Big SQL using simple HTTP calls. None of the other options-SLEEP, SNORE, or DREAM-are valid or recognized interfaces in IBM Cloud Pak for Data or Db2 Big SQL documentation.

質問 # 111
Which of the following are essential considerations when scaling Watson Assistant solutions across different geographies? (Select two)

• A. Uniform data processing speeds
• B. Localization of user interactions
• C. Consistent branding across regions
• D. Region-specific legal compliance

正解：B、D

質問 # 112
What is a Data Refinery flow in Cloud Pak for Data?

• A. A visualization tool.
• B. A machine learning model.
• C. A data storage location.
• D. An ordered set of data operations.

正解：D

解説：
A Data Refinery flow is an ordered sequence of data operations applied to tabular data for preparation, cleansing, and transformation. Users can create a series of steps such as filtering, joining, aggregating, and applying custom expressions. The flow is saved and can be rerun on updated datasets to ensure consistency in data preparation. It is not a storage system (A), an ML model (B), or a visualization tool (D).

質問 # 113
What is used to monitor workloads when running Db2 Warehouse as a Cloud Pak for Data service?

• A. Db2 Data Management Console
• B. Db2 Control Center
• C. Db2 Administration Framework
• D. Db2 Graph server

正解：A

質問 # 114
How do Massively Parallel Processing (MPP) and Symmetric Multiprocessing (SMP) differ in a Db2 environment?

• A. MPP is less suited for complex analytical tasks compared to SMP
• B. MPP requires a shared memory architecture, whereas SMP does not
• C. MPP divides tasks among multiple processors, while SMP uses a single processor
• D. SMP is more scalable than MPP

正解：C

質問 # 115
An organization has created an extensive number of data protection rules as part of their Cloud Pak for Data implementation. The governance team is working on developing best practices for their team to maximize this investment.
Which service can be used to create a copy of cataloged asset data with all data protection rules applied?

• A. SPSS Modeler
• B. IBM Data Virtualization
• C. Data Privacy
• D. DataStage

正解：C

質問 # 116
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. It scans its network for open file shares.
• D. Users add shared file systems in the UI.

正解：A

解説：
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.

質問 # 117
In the context of Watson Assistant, what purpose do storage classes serve?

• A. They categorize storage by color only
• B. Impact the font size of stored data
• C. Are only relevant for aesthetic classification
• D. Determine the latency and throughput for data access

正解：D

質問 # 118
What is a primary benefit of using watsonx.data over traditional data warehouse solutions?

• A. Reduced data flexibility
• B. Increased data redundancy
• C. Lower data latency
• D. Limited data scalability

正解：C

質問 # 119
In the context of Match 360, what is a significant factor for achieving a unified customer view?

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

正解：C

質問 # 120
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