C1000-173최신버전덤프샘플문제덤프로시험패스하기

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IBM C1000-173 Exam Syllabus Topics:

SectionWeightObjectives
Data Virtualization, Governance, and Analytic Integration10%- 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
Administration and Monitoring15%- Monitor and maintain the environment
  • 1. Use OpenShift monitoring tools and CP4D logging
  • 2. Troubleshoot common pod and service failures
- User and access management
  • 1. Integrate with external identity providers (LDAP/SAML)
  • 2. Manage users, groups, and role-based access control (RBAC)
Security15%- Implement security best practices
  • 1. Configure security context constraints (SCCs)
  • 2. Manage secrets and encryption at rest
  • 3. Understand compliance and auditing requirements
Installation and Configuration20%- Install Cloud Pak for Data on Red Hat OpenShift
  • 1. Configure the ZenService and internal authentication
  • 2. Use the IBM Cloud Pak for Data installer and operators
  • 3. Manage certificates and security settings
- Add and configure services
  • 1. Install and configure core add-on services (e.g., Data Virtualization, Watson Studio)
  • 2. Manage version upgrades of the platform and services
Planning and Designing a Cloud Pak for Data Solution20%- Size the environment
  • 1. Select appropriate OpenShift cluster configurations
  • 2. Calculate resource requirements based on user load and services
- Plan network and storage infrastructure
  • 1. Determine storage class requirements (File, Block, Object)
  • 2. Design network policies and routes
  • 3. Plan for high availability and disaster recovery
Cloud Pak for Data Architecture20%- Explain the Cloud Pak for Data architecture, key components, and services
  • 1. Describe the purpose of Zen Core, Redis, and Postgres
  • 2. Explain the integration with Red Hat OpenShift Container Platform
  • 3. Understand how services are deployed as pods in the OpenShift cluster
- Describe deployment models and licensing
  • 1. Understand subscription models and capacity requirements
  • 2. Differentiate between self-managed and cloud-managed deployments

>> C1000-173최신버전 덤프샘플문제 <<

C1000-173최신버전 덤프공부문제, C1000-173시험대비

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최신 IBM Certified Architect C1000-173 무료샘플문제 (Q137-Q142):

질문 # 137
What does Watson OpenScale require to generate statistics?

정답：C

설명：
* Training Data Statistics:Watson OpenScale needs to understand the characteristics of the data the model was trained on. This includes things like the distribution of features, sensitive attributes (for fairness monitoring), and how the model performed on this initial data. These "training data statistics" are crucial for:
* Fairness Configuration:Recommending fairness attributes, reference, and monitored groups.
* Bias Detection:Calculating fairness metrics (like disparate impact) by comparing runtime behavior to the learned training data distribution.
* Explainability:Generating explanations by understanding the distribution of values in the training data to create meaningful perturbations.
* Drift Detection:Building a drift detection model that compares runtime data to the training data to identify shifts.
While Watson OpenScale also consumespayload data(the data sent to the deployed model for predictions) at runtime to calculate various metrics and perform monitoring, the initial setup and the ability to generate meaningfulstatisticsfor things like fairness and drift fundamentally rely on understanding thetraining data


질문 # 138
How does IBM Cloud Pak for Data support disaster recovery and business continuity planning?

정답：D


질문 # 139
What is a significant advantage of using Db2 services in a cloud environment?

정답：C


질문 # 140
What are the critical metrics to understand in a Disaster Recovery plan?

정답：B


질문 # 141
What steps are required for setting up IBM Data Replication for Cloud Pak for Data?

정답：C

설명：
To set up IBM Data Replication in Cloud Pak for Data, administrators must follow a sequence that begins with defining the source (such as a transactional database), then defining the target system (such as a data lake or warehouse), and finally configuring the replication process. This setup allows for near real-time data synchronization. User definitions, server setup, and data management rules are involved elsewhere in the platform but are not the essential steps for replication configuration.


질문 # 142
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