Get IBM C1000-172 Exam Practice Questions - Real and Updated

Answer : A, C

When an organization has deployed Red Hat OpenShift on an IBM Cloud cluster on a Virtual Private Cloud (VPC) infrastructure and needs to connect to resources hosted on the IBM Cloud Classic infrastructure, IBM Cloud Direct Link and Transit Gateway are the two most suitable connectivity options.

IBM Cloud Direct Link:

IBM Cloud Direct Link provides dedicated, high-speed, and secure connectivity between IBM Cloud infrastructure components, including between VPCs and IBM Cloud Classic infrastructure. By establishing a Direct Link connection, traffic can securely flow between the Red Hat OpenShift workloads in the VPC and the applications or services running on the Classic infrastructure without traversing the public internet.

Transit Gateway:

IBM Cloud Transit Gateway allows organizations to establish a hub-and-spoke model of connectivity, facilitating communication between different networks, such as VPCs and Classic infrastructure, across IBM Cloud. With Transit Gateway, you can interconnect multiple VPCs and Classic networks, allowing seamless communication across the cloud environments. This option is ideal for managing traffic between isolated network segments while maintaining control over traffic routing and security policies.

These two options are typically used in multi-cloud or hybrid cloud architectures to ensure smooth, secure, and scalable communication between cloud environments (VPC and Classic infrastructure) in IBM Cloud.

IBM Cloud Documentation Reference:

IBM Cloud Direct Link

IBM Cloud Transit Gateway

Answer : D

To achieve a high availability strategy with a target of four nines (99.99%) for an IBM Kubernetes Services cluster, you need to deploy multiple worker nodes across at least three availability zones within a single region. This configuration ensures that even if one or two zones experience failures, the cluster remains operational, thus meeting the 99.99% uptime objective.

High Availability in IBM Cloud Kubernetes Service: Deploying worker nodes across multiple availability zones provides redundancy and fault tolerance. By having at least three zones, the Kubernetes cluster can tolerate failures in up to two zones while still maintaining functionality.

Comparison of Options:

A (Single worker node in a single zone): Insufficient for high availability as any zone failure would result in downtime.

B (Multiple nodes in a single zone): Provides redundancy but still vulnerable to zone-wide outages, not meeting 99.99% uptime.

C (Multiple nodes in at least three zones across multiple regions): While this offers high availability, it exceeds the requirements stated for achieving 99.99% within a single region.

IBM Kubernetes Service Documentation

IBM Cloud High Availability Best Practices

IBM Cloud Architect Exam Study Guide

Answer : A

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.

IBM Cloud Virtual Servers Documentation

IBM Cloud Architect Exam Study Guide

cloud-init Official Documentation

Answer : C

In IBM Cloud, a monitoring agent properly authenticates with the IBM Cloud Monitoring service by using a service instance authorization. This approach allows secure interaction between the monitoring agent and the monitoring service by using identity and access management (IAM) policies and authorizations associated with a service instance.

Service instance authorizations grant specific permissions to services, enabling them to authenticate and interact with other services or resources securely. For IBM Cloud Monitoring, the agent uses the service instance authorization to send metrics to the monitoring service, ensuring that the communication is authenticated and authorized without relying on hard-coded credentials or API keys tied to individual users.

The service instance authorization method is recommended because it is aligned with best practices for securing services in cloud environments, offering a centralized and controlled way to manage permissions.

IBM Cloud Documentation Reference:

IBM Cloud Monitoring: Setting up and Configuring Agents

Service Authorization for IBM Cloud Services

Answer : C

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.

IBM Cloud Analytics Engine Documentation

IBM Cloud Architect Exam Study Guide

IBM Cloud Object Storage