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Free C1000-172 Exam Braindumps (page: 4)

Page 3 of 17
PDF with 64 Questions

An IT manager is considering using IBM Key Protect for their organization's data encryption needs.
What is the primary objective of IBM Key Protect?

  1. Key management system for data encryption
  2. Hardware security module for cloud servers
  3. Data analytics platform for IBM Cloud
  4. Cloud-based data storage solution

Answer(s): A

Explanation:

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.


Reference:

IBM Key Protect Documentation

IBM Cloud Architect Exam Study Guide

IBM Cloud Security Services



Which high availability strategy will result in a maximum of 4 nines (99.99%) of availability for an IBM Kubernetes Services cluster?

  1. A single worker node in a single availability zone in a single region
  2. Multiple worker nodes in a single availability zone in a single region
  3. Multiple worker nodes in at least three availability zones in two or more regions
  4. Multiple worker nodes in at least three availability zones in a single region

Answer(s): D

Explanation:

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.


Reference:

IBM Kubernetes Service Documentation

IBM Cloud High Availability Best Practices

IBM Cloud Architect Exam Study Guide



What provides network connectivity between resources deployed in two different IBM Cloud VPCs?

  1. Domain Name System
  2. Direct Link
  3. Transit Gateway
  4. Power Edge Router

Answer(s): C

Explanation:

IBM Cloud Transit Gateway provides network connectivity between different IBM Cloud Virtual Private Clouds (VPCs). It allows for secure, scalable, and efficient communication between resources deployed in separate VPCs, whether they are within the same region or across different regions.

How Transit Gateway Works: It acts as a central hub that facilitates the routing of traffic between multiple VPCs without the need to configure individual VPC peering connections. This simplifies network management, improves scalability, and enhances security by maintaining a single point of control.

Benefits of Transit Gateway: This service supports both private and public connectivity options and allows for routing policies that can be customized according to business needs. It also provides seamless integration with other IBM Cloud services and third-party networks.

Comparison of Other Options:

Domain Name System (A): Not used for network connectivity between VPCs.

Direct Link (B): Used for dedicated, high-speed connections from on-premises to IBM Cloud but not between VPCs.

Power Edge Router (D): Not an IBM Cloud service for inter-VPC connectivity.


Reference:

IBM Cloud Transit Gateway Documentation

IBM Cloud Networking Solutions

IBM Cloud Architect Exam Study Guide



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

  1. Java, Scala, Python, and R
  2. Scala, Python, and R
  3. Python and R only
  4. C, C++, Java, Scala, Python, and R

Answer(s): A

Explanation:

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.






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