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IBM API Connect v10.0.3 Solution Implementation Sample Questions (Q98-Q103):

NEW QUESTION # 98
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. Use only private endpoints to store monitoring data in IBM Cloud Object Storage
B. Configure the monitoring instance and monitoring agents to only use private endpoints
C. Ensure that all resources being monitored are in the same region as the IBM Cloud monitoring instance
D. Encrypt all monitoring data with a user-controlled key from Key Protect or Hyper Protect Crypto Services

Answer: B

Explanation:
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.

NEW QUESTION # 99
What is used to configure virtual server instances (VSIs) with user data?

A. cloud-init
B. cloud-config
C. server-config
D. user-data

Answer: A

Explanation:
cloud-init is a widely used tool in IBM Cloud for initializing virtual server instances (VSIs) with user data. It allows users to provide configuration instructions or scripts that are executed when a new virtual server is created. cloud-init is highly versatile and supports a variety of use cases, such as installing software packages, setting up the environment, and managing users.
What is cloud-init? It is a standard method for cloud instance initialization in many cloud environments, including IBM Cloud. cloud-init reads the user data provided during the instance's launch and executes the required configurations, allowing for automated setup and customization.
Why use cloud-init? It enables users to automate the bootstrapping process of virtual servers by defining configurations that can range from simple commands to complex scripts. This reduces manual intervention, saves time, and ensures consistency in server setups.
Relationship with Other Options:
cloud-config (B) is a YAML file format used by cloud-init for providing configuration details. However, the term cloud-init refers to the actual tool used to process the user data.
server-config (C) and user-data (D) are not specific tools but terms that might describe parts of the cloud-init process.
Reference:
IBM Cloud Virtual Servers Documentation
IBM Cloud Architect Exam Study Guide
cloud-init Official Documentation

NEW QUESTION # 100
At which level can custom roles be created and deleted?

A. Catalog level
B. Provider organization level
C. Space level
D. Consumer organization level

Answer: A

NEW QUESTION # 101
A client created their infrastructure using IBM Cloud Schematics and wants to horizontally scale their resources. How can this be achieved?

A. Add necessary resources using IBM Cloud Schematics
B. Add necessary resources using CLI
C. Destroy all resources and recreate them
D. Destroy necessary resources using IBM Cloud Console

Answer: A

Explanation:
IBM Cloud Schematics is an Infrastructure as Code (IaC) tool that uses Terraform to create, update, and manage cloud resources. To horizontally scale resources using IBM Cloud Schematics, a user should add the necessary resources (such as additional virtual machines or instances) by updating the Terraform configuration files and applying those changes through Schematics.
How Scaling is Achieved with IBM Cloud Schematics: Users can modify their existing infrastructure definition to add new resources or adjust their configurations. These modifications can be made in the Terraform files that are managed by Schematics. After the modifications, users apply the updated configuration to scale resources horizontally (e.g., adding more instances to a resource pool).
Why IBM Cloud Schematics is the Correct Choice: Schematics manages infrastructure as code, which is a more reliable, repeatable, and controlled way to manage changes and scale resources compared to manual methods such as CLI.
Comparison with Other Options:
A (Add using CLI): Possible but not as efficient or manageable as using Schematics.
C (Destroy resources using Console): Irrelevant to scaling.
D (Destroy all and recreate): Not a practical or recommended approach for scaling.
Reference:
IBM Cloud Schematics Documentation
IBM Cloud Architect Exam Study Guide

NEW QUESTION # 102
Why does IBM Cloud Analytics Engine decouple compute and storage?

A. Compute can be scaled but storage costs are fixed
B. Compute can be scaled but not storage
C. Storage can be scaled but not compute
D. To achieve scale independently and control costs

Answer: D

Explanation:
IBM Cloud Analytics Engine decouples compute and storage to provide independent scaling and cost management capabilities. This approach allows organizations to scale compute resources (such as CPU and memory) separately from storage resources, optimizing both performance and cost.
Independent Scaling: Decoupling compute and storage means that users can scale the computational power (e.g., number of nodes, processing capabilities) independently of the storage capacity (e.g., data stored in IBM Cloud Object Storage). This is particularly useful in data analytics workloads where the compute requirements may vary significantly over time, but the storage requirements remain relatively constant.
Cost Control: By allowing compute and storage to be managed separately, users have greater flexibility to control costs. For example, users can increase compute power temporarily to handle a peak workload without the need to increase storage costs. Conversely, they can store large datasets without paying for unused compute capacity. This decoupling leads to a more cost-effective and efficient use of cloud resources.
Advantages in Cloud Environments: Decoupling compute and storage aligns with the best practices in modern cloud environments, where elasticity, scalability, and cost efficiency are paramount. It allows organizations to adapt quickly to changing business needs and workload demands, reducing overhead and improving resource utilization.
Reference:
IBM Cloud Analytics Engine Documentation
IBM Cloud Architect Exam Study Guide
IBM Cloud Object Storage

NEW QUESTION # 103
......

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C1000-138 Latest Exam Vce - Test C1000-138 Engine Version

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IBM API Connect v10.0.3 Solution Implementation Sample Questions (Q98-Q103):

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