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

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

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 : D

The main advantage of using IBM Code Engine over traditional server provisioning is greater scalability.

IBM Code Engine: It is a fully managed, serverless platform that automatically scales up or down based on the workload demand. Unlike traditional server provisioning, which requires manual configuration and scaling of resources, IBM Code Engine dynamically adjusts the compute capacity, allowing applications to handle variable loads efficiently.

Scalability Advantage: IBM Code Engine's serverless architecture eliminates the need for pre-provisioning servers, thus avoiding over-provisioning or under-provisioning issues. It can automatically scale from zero to thousands of instances based on demand, making it highly efficient for scaling applications.

Reference from IBM Cloud Professional Architect Materials:

According to IBM documentation on IBM Code Engine, it provides a serverless experience with automatic scaling, where the platform handles all the provisioning, scaling, and management of resources.

The other options are incorrect:

A . Lower latency may be a benefit, but it's not the main advantage.

B . Better load balancing is part of scalability but not the primary advantage over traditional provisioning.

C . Higher security could be a benefit but isn't specific to IBM Code Engine's main advantage over server provisioning.

Answer : A

IBM Key Protect is a cloud-based key management service that allows organizations to manage encryption keys used to protect their data across IBM Cloud services. The primary objective of IBM Key Protect is to securely generate, store, manage, and use cryptographic keys to protect sensitive data.

Key Management System: IBM Key Protect provides lifecycle management for keys, including creating, rotating, importing, and deleting keys. This service integrates with various IBM Cloud services to enable secure data encryption and protect data at rest and in transit.

Use Cases: It is designed for organizations that need to ensure compliance with data security regulations and protect their data using industry-standard encryption practices. It provides a centralized key management solution for cloud-native applications and workloads.

Comparison with Other Options:

Hardware security module (B) is a different type of secure key storage, which can be used alongside IBM Key Protect but is not its primary function.

Data analytics platform (C) and Cloud-based data storage solution (D) are unrelated to key management and encryption.

IBM Key Protect Documentation

IBM Cloud Architect Exam Study Guide

IBM Cloud Security Services

Answer : B

The IBM Cloud services that can help in building a solution for collecting, transforming, and analyzing data from different formats are Event Streams and App Connect.

IBM Event Streams: This is an Apache Kafka-based messaging service designed to handle real-time data streaming and ingestion. It can collect and distribute data from various sources, making it suitable for scenarios involving data from multiple sources or formats.

IBM App Connect: App Connect provides integration capabilities that allow for data transformation, mapping, and filtration, enabling the unification of data formats before processing. It helps in creating rules to transform data according to the desired structure.

Reference from IBM Cloud Professional Architect Materials:

IBM documentation on Event Streams and App Connect describes how these services can work together to handle and transform data from multiple sources for real-time analytics and integration.

Other options are incorrect:

A . API Connect and Aspera focus on API management and high-speed data transfer, respectively.

C . Event Streams and Aspera are not geared towards data transformation and integration.

D . App Connect and Datastax do not provide the necessary data streaming and collection capabilities.