IBM C1000-173模擬試験サンプル、C1000-173復習問題集

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C1000-173試験の質問に協力して、C1000-173試験に合格し、C1000-173証明書を正常に取得することをお約束します。以前のお客様に対する最近の調査によると、99%のIBMお客様が目標を達成できるため、最終的な目標の達成を支援するお手伝いができると考えています。ベッドサイドには、新しい知識の開発を管理するための高品質のC1000-173テストガイドがあるため、すべてのIBM Cloud Pak for Data v4.7 Architect学習ポイントをバランスよく把握できます。
IBM C1000-173 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|
| Security | 15% | - Implement security best practices
- 1. Understand compliance and auditing requirements
- 2. Manage secrets and encryption at rest
- 3. Configure security context constraints (SCCs)
|
| Planning and Designing a Cloud Pak for Data Solution | 20% | - Plan network and storage infrastructure
- 1. Plan for high availability and disaster recovery
- 2. Determine storage class requirements (File, Block, Object)
- 3. Design network policies and routes
- Size the environment
- 1. Select appropriate OpenShift cluster configurations
- 2. Calculate resource requirements based on user load and services
|
| Data Virtualization, Governance, and Analytic Integration | 10% | - Manage data sources and virtualization
- 1. Configure connections to databases and data warehouses
- 2. Create and manage virtualized tables
- Data Governance and Quality
- 1. Understand the purpose of data governance (Steward, Catalog)
- 2. Integrate with data fabric and knowledge graph concepts
|
| Installation and Configuration | 20% | - Add and configure services
- 1. Manage version upgrades of the platform and services
- 2. Install and configure core add-on services (e.g., Data Virtualization, Watson Studio)
- Install Cloud Pak for Data on Red Hat OpenShift
- 1. Manage certificates and security settings
- 2. Configure the ZenService and internal authentication
- 3. Use the IBM Cloud Pak for Data installer and operators
|
| Administration and Monitoring | 15% | - User and access management
- 1. Integrate with external identity providers (LDAP/SAML)
- 2. Manage users, groups, and role-based access control (RBAC)
- Monitor and maintain the environment
- 1. Troubleshoot common pod and service failures
- 2. Use OpenShift monitoring tools and CP4D logging
|
| Cloud Pak for Data Architecture | 20% | - Describe deployment models and licensing
- 1. Understand subscription models and capacity requirements
- 2. Differentiate between self-managed and cloud-managed deployments
- Explain the Cloud Pak for Data architecture, key components, and services
- 1. Explain the integration with Red Hat OpenShift Container Platform
- 2. Understand how services are deployed as pods in the OpenShift cluster
- 3. Describe the purpose of Zen Core, Redis, and Postgres
|
>> IBM C1000-173模擬試験サンプル <<
IBM C1000-173復習問題集 & C1000-173模擬モード
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IBM Cloud Pak for Data v4.7 Architect 認定 C1000-173 試験問題 (Q108-Q113):
質問 # 108
A customer wants to manage Cloud Pak for Data secrets via an existing supported vault system. What is needed to integrate any supported vault systems into Cloud Pak for Data?
- A. Client key in .key or .pem format to authenticate to the vault.
- B. Fully qualified URL of the vault.
- C. Username and password of the vault.
- D. Client certificate to authenticate to the vault.
正解:B
解説:
To integrate a supported vault system withIBM Cloud Pak for Data, thefully qualified URLof the external vault is a required component for establishing communication between Cloud Pak for Data and the vault. This is typically configured in theexternal secrets managersettings.
While authentication credentials (like client certificates or keys) are also necessarydepending on the authentication method used, thefully qualified URLis universally required to locate and connect to the vault.
IBM Cloud Pak for Data supports integration with vaults such as:
* HashiCorp Vault
* AWS Secrets Manager
* Azure Key Vault
* IBM Key Protect
For more details, refer to:
IBM Cloud Pak for Data: Using external secrets managers
質問 # 109
What is the primary purpose of using DataStage in data integration processes?
- A. To facilitate and streamline complex data integration
- B. To enhance graphical visualization
- C. To provide real-time messaging capabilities
- D. To manage user access controls
正解:A
質問 # 110
What statement is true about tethered projects?
- A. Use tethered projects to isolate service instances or workloads from the rest of the Cloud Pak for Data deployment.
- B. Tethered projects can be shared by multiple instances of Cloud Pak for Data.
- C. A tethered project cannot have its own NetworkPolicies, SecurityContext and ResourceQuota.
- D. All Cloud Pak for Data services support running workloads or service instances in tethered projects.
正解:A
質問 # 111
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 fail and will need to be restarted.
- B. The sixth job will start if resources are available and will automatic.
- C. The sixth job will queue until one of the other concurrent jobs completes.
正解:C
解説:
Queueing mechanism is in place. Since the maximum concurrent jobs are limited to 5, the sixth job will not start immediately. Instead, it will queue and wait for one of the currently running jobs to complete, making room for the sixth job to execute.
質問 # 112
Which Cloud Pak for Data services support multi-tenancy?
- A. Only those that require complete resource isolation
- B. Services that do not allow for data segmentation
- C. Services that mandate single-tenancy
- D. Any service that can be configured with namespaces
正解:D
質問 # 113
......
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