最適な練習法にはIBM C1000-172問題集で素晴らしいC1000-172試験問題PDF [Q83-Q98]

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最適な練習法にはIBM C1000-172問題集で素晴らしいC1000-172試験問題PDF

更新された検証済みの合格させるC1000-172試験リアル問題と解答


IBM C1000-172 認定試験の出題範囲:

トピック出題範囲
トピック 1
  • Designing Cloud Solutions: This section is aimed at business intelligence developers and covers describing the three IBM Cloud service models, examining automation for application platforms using IBM Cloud Schematics.
トピック 2
  • Compute Options: This part of the exam assesses the knowledge of data architects, focusing on the functionality of VPC on IBM Cloud through detailed feature use cases. It also includes understanding architectural considerations for IBM Cloud container platforms.
トピック 3
  • Data Analytics and Data Management: In this section, data analysts are evaluated on their understanding of the capabilities and features of IBM Analytics Engine on IBM Cloud.
トピック 4
  • Observability Capabilities: This section measures the ability of data architects to identify monitoring and alerting features in IBM Cloud Monitoring and analyze the functionalities of IBM Log Analysis through detailed use cases.
トピック 5
  • Security: This section is designed for professionals with a focus on cloud security. It evaluates the knowledge of IBM Cloud Professionals to understand and deploy key architectural concepts related to IBM Cloud Security, the use of IBM Key Protect, and Hyper Protect Crypto Services.

 

質問 # 83
Monitoring data can be considered sensitive by some clients. How can a client configure IBM Cloud Monitoring so that sensitive monitoring data is not traveling across the public internet?

  • A. Ensure that all resources being monitored are in the same region as the IBM Cloud monitoring instance
  • B. Use only private endpoints to store monitoring data in IBM Cloud Object Storage
  • C. Configure the monitoring instance and monitoring agents to only use private endpoints
  • D. Encrypt all monitoring data with a user-controlled key from Key Protect or Hyper Protect Crypto Services

正解:C

解説:
To ensure that sensitive monitoring data does not travel across the public internet, a client can configure the monitoring instance and monitoring agents to only use private endpoints.
IBM Cloud Monitoring Private Endpoints: IBM Cloud Monitoring with Sysdig allows users to configure their monitoring instance and agents to communicate only over private endpoints. This configuration ensures that monitoring data remains within IBM's private network, thus avoiding exposure to the public internet.
Private Endpoints for Data Security: Using private endpoints is crucial for clients who require that their sensitive data, such as monitoring metrics, never leave the secure IBM Cloud network, enhancing overall security.
Reference from IBM Cloud Professional Architect Materials:
IBM Cloud documentation on Configuring Private Endpoints for IBM Cloud Monitoring confirms that monitoring data can be restricted to private endpoints to avoid exposure to the public internet.
Other options are incorrect:
A . Encrypt all monitoring data with a user-controlled key from Key Protect or Hyper Protect Crypto Services does not prevent data from traveling across the public internet.
C . Ensure that all resources being monitored are in the same region as the IBM Cloud monitoring instance is a good practice for performance but does not specifically ensure that data doesn't travel over the public internet.
D . Use only private endpoints to store monitoring data in IBM Cloud Object Storage is related to storage, not monitoring data transmission.
Therefore, the correct answer is B. Configure the monitoring instance and monitoring agents to only use private endpoints.


質問 # 84
How does a client ensure high availability for master nodes in a Red Hat OpenShift on IBM Cloud cluster?

  • A. Master nodes have six replicas for high availability
  • B. Users must deploy the application nodes evenly across zones, then IBM deploys the master nodes in the same way
  • C. Users can decide how master nodes should be distributed across zones used in the cluster
  • D. Master node replicas are automatically spread evenly across zones

正解:D


質問 # 85
An architect recently deployed a multizone Red Hat OpenShift cluster on IBM Cloud. The architect wants to ensure that if one data center becomes unavailable, the service will spin up worker nodes in another data center without human intervention.
Which functionality enables this requirement?

  • A. Network forwarding
  • B. Load balancing
  • C. Init-node script automation
  • D. Autoscaling

正解:D

解説:
Autoscaling enables automatic scaling of resources in response to demand or failure events, ensuring that a multizone Red Hat OpenShift cluster on IBM Cloud can dynamically spin up worker nodes in another data center if one becomes unavailable. Autoscaling allows for maintaining service availability without human intervention, thus achieving the required resiliency.
How Autoscaling Works: Autoscaling automatically adjusts the number of worker nodes in a cluster based on predefined metrics such as CPU usage, memory usage, or other health checks. In the event of a zone failure, it can scale out to other available zones to maintain service continuity.
Importance of Autoscaling for Resiliency: By automatically provisioning new resources when needed, autoscaling reduces the risk of downtime and ensures consistent application performance.
Comparison with Other Options:
A (Load balancing): Distributes traffic but does not scale resources.
B (Network forwarding): Related to network routing, not scaling resources.
D (Init-node script automation): Involves initial setup, not dynamic scaling.
Reference:
IBM Cloud Kubernetes Service Autoscaling
IBM Cloud OpenShift Documentation
IBM Cloud Architect Exam Study Guide


質問 # 86
A client is using IBM Cloud Schematics to build Infrastructure as Code using a declarative approach. When using this approach, what does the declarative approach define?

  • A. Declarative state
  • B. Future state
  • C. End state or desired state
  • D. Start state

正解:C

解説:
In Infrastructure as Code (IaC) using IBM Cloud Schematics, a declarative approach defines the "end state" or "desired state" of the infrastructure.
Declarative Approach: In the declarative model, you specify the final desired state of the infrastructure you want, and the IaC tool (IBM Cloud Schematics in this case) takes the responsibility of determining the sequence of steps necessary to achieve that state. This is opposed to an imperative approach, where you explicitly define each step required to reach the desired outcome.
IBM Cloud Schematics: IBM Cloud Schematics is a tool that allows users to define their infrastructure and services as code using Terraform. In a declarative approach, the user creates Terraform configuration files that describe the desired state of all resources, like VMs, networks, databases, etc. Schematics then reconciles the current state with the desired state by applying the appropriate changes.
Reference from IBM Cloud Professional Architect Materials:
According to IBM documentation on IBM Cloud Schematics, it focuses on defining the desired state (end state) of the resources. This is a fundamental concept of Infrastructure as Code (IaC) and the declarative approach in cloud computing.
The other options do not accurately describe the declarative approach:
A . Future state is too vague and not a recognized term in the context of IaC.
C . Declarative state is not a defined term in the IaC context.
D . Start state refers to the initial configuration, not the desired outcome.


質問 # 87
Which solution provides high availability for Power Systems Virtual Server on the IBM Cloud?

  • A. Multi-zone Power Server Clusters
  • B. PowerHA System Mirror
  • C. Veeam on IBM Cloud
  • D. Power Systems autoscaling group

正解:B


質問 # 88
There is a request to architect a hybrid VMware solution in IBM Cloud to address failures in the on- premise data centers.
What additional VMware component would allow for seamless network access for workloads from the VMware Cluster on-premise to the VMware Cluster in IBM Cloud to facilitate resiliency into existing solutions?

  • A. HCX
  • B. NSX-C
  • C. NSX-T
  • D. NCX

正解:A


質問 # 89
Which IBM Cloud database service supports both relational and non-relational data querying?

  • A. Databases for Redis
  • B. Databases for PostgreSQL
  • C. Databases for etcd
  • D. Databases for Db2

正解:D

解説:
Databases for Db2 is an IBM Cloud database service that supports both relational and non-relational data querying.
IBM Cloud Databases for Db2: Db2 on IBM Cloud is a managed database service that supports both relational and non-relational models. It provides JSON and SQL querying capabilities, allowing users to store and retrieve data in a flexible manner. This makes it capable of handling structured, semi-structured, and unstructured data, thus supporting both relational and non-relational data formats.
Support for Multiple Data Types: Db2's multi-model database capabilities enable the execution of SQL queries on relational data and the storage/retrieval of JSON documents, effectively allowing it to function in both relational and non-relational scenarios.
Reference from IBM Cloud Professional Architect Materials:
According to IBM's documentation on IBM Cloud Databases for Db2, it supports a broad range of workloads and use cases, including transactional (relational) and operational (non-relational) workloads, making it suitable for both SQL and NoSQL data models.
The other options are incorrect because:
A . Databases for Redis is a key-value store optimized for in-memory data.
C . Databases for PostgreSQL is strictly a relational database.
D . Databases for etcd is a key-value store primarily used for configuration management.


質問 # 90
Which of the following is a compliance program that IBM Cloud supports?

  • A. HIPAA
  • B. AES
  • C. OSI
  • D. CNSI

正解:A


質問 # 91
Which programming languages are supported by IBM Cloud Analytics Engine for developing big data analytics?

  • A. Java, Scala, Python, and R
  • B. C, C++, Java, Scala, Python, and R
  • C. Scala, Python, and R
  • D. Python and R only

正解:A

解説:
IBM Cloud Analytics Engine supports several programming languages for developing big data analytics. The correct answer is Java, Scala, Python, and R.
IBM Cloud Analytics Engine: This service provides a fully managed Apache Spark service designed to handle big data analytics. Apache Spark, the core engine behind IBM Cloud Analytics Engine, supports multiple programming languages like Java, Scala, Python, and R to build, test, and deploy big data applications.
Supported Languages: According to the IBM Cloud Analytics Engine documentation, developers can use Java, Scala, Python, and R to interact with Spark. This flexibility allows data scientists and engineers to use the language they are most comfortable with or that best suits their project requirements.
Why Other Options are Incorrect:
B . Scala, Python, and R is incomplete as it omits Java.
C . Python and R only is incorrect since it excludes both Java and Scala.
D . C, C++, Java, Scala, Python, and R is incorrect because C and C++ are not supported by Apache Spark in this context.


質問 # 92
What industry standard encryption protocol is used for the IBM Cloud Block Storage?

  • A. Industry-Standard SSL HTTP 64 encryption
  • B. Industry-Standard ASE-526 encryption
  • C. Industry-Standard AES-256 encryption
  • D. Industry-Standard SSL HTTPS 32 encryption

正解:C


質問 # 93
What are two benefits of using IBM Cloud Container Registry?

  • A. The built-in Vulnerability Advisor feature that scans for potential security issues and vulnerabilities
  • B. Benefit from unlimited free storage and pull traffic to your private images for an unlimited term
  • C. Set up your own single-tenant image namespace in a highly available, scalable, encrypted private registry that is hosted and managed by IBM
  • D. Store your private images and share them with users in your IBM Cloud account
  • E. ILMT is built-in to ensure compliance with IBM Licensing terms

正解:A、D


質問 # 94
What is a feature of IBM Cloud File Storage (Classic)?

  • A. Adjustable Volumes
  • B. Volume Replication
  • C. Jumbo Frames
  • D. Fixed IOPS

正解:B

解説:
Volume Replication is a feature of IBM Cloud File Storage (Classic).
IBM Cloud File Storage (Classic): This service provides block-level storage that can be provisioned with different performance tiers. Volume replication allows for synchronous replication of data across different availability zones within a region, ensuring high availability and disaster recovery.
Advantages of Volume Replication: By replicating data, IBM Cloud File Storage (Classic) offers enhanced data durability and continuity in case of an outage or failure at a single storage site.
Reference from IBM Cloud Professional Architect Materials:
According to IBM's documentation on File Storage, volume replication is one of the key features for enabling high availability.
Other options are incorrect:
A . Adjustable Volumes is not a primary feature of the classic version.
C . Jumbo Frames relates to networking, not storage.
D . Fixed IOPS contradicts the flexible performance tiers of IBM Cloud File Storage (Classic).


質問 # 95
An organization wants to secure its exposed APIs running on IBM Cloud API Connect Reserved Instances using OAuth and OpenID.
Which capabilities can help in this case?

  • A. Authentication and authorization capabilities are offered by IBM API Connect itself
  • B. IBM API Connect creates user registries, but OAuth isn't allowed in API Connect, and this can be done by a third-party provider
  • C. IBM API Connect APIs must be secured by a third party as API Connect is responsible for managing the API life cycle only
  • D. IBM API Connect is providing authentication, but authorization can be provided by IAM

正解:A

解説:
IBM API Connect offers both authentication and authorization capabilities to secure APIs using OAuth and OpenID.
IBM API Connect Security Features: IBM API Connect provides built-in capabilities for managing OAuth and OpenID Connect authentication and authorization flows. It allows users to define security policies that enforce these protocols to protect APIs.
Use of OAuth and OpenID: API Connect enables organizations to create user registries, apply security policies, and manage tokens for OAuth 2.0 and OpenID Connect, providing end-to-end security management for APIs.
Reference from IBM Cloud Professional Architect Materials:
IBM documentation on API Security in IBM API Connect confirms that API Connect handles both authentication and authorization for securing APIs.
Other options are incorrect:
B . IBM API Connect APIs must be secured by a third party is false; API Connect itself provides these capabilities.
C . IBM API Connect is providing authentication, but authorization can be provided by IAM is incorrect because API Connect manages both.
D . IBM API Connect creates user registries, but OAuth isn't allowed is incorrect; OAuth is fully supported.


質問 # 96
When can an IBM Cloud Monitoring metric data be deleted?

  • A. It is never deleted
  • B. It is automatically deleted after 15 months
  • C. It is deleted when the capture file is deleted
  • D. It can only be deleted by opening a support ticket

正解:B


質問 # 97
On IBM Cloud, what are the two types of pipelines and how are they specified?

  • A. Simple pipelines are specified with XML. Complex pipelines are specified in JSON.
  • B. Legacy pipelines are specified with CSV files. NextGen pipelines are specified in JSON
  • C. Tekton pipelines are specified in YAML. Codewind pipelines are specified in XMI.
  • D. Classic pipelines are specified graphically. Tekton pipelines are specified in YAML.

正解:C、D


質問 # 98
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更新されたPDF(2024年最新)実際にあるIBM C1000-172試験問題:https://jp.fast2test.com/C1000-172-premium-file.html


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