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IBM C1000-142 Exam Actual Questions
IBM Cloud Advocate v2 (Page 6 )

Updated On: 6-Apr-2026
Page 6 of 48
PDF with 232 Questions

Which IBM Cloud® service fully managed elastic cloud data warehouse delivers independent scaling of storage and compute?

  1. IBM Analytics Engine
  2. IBM Watson Machine Learning
  3. IBM Watson Knowledge Catalog
  4. IBM Watson Discovery
  5. IBM DB2 Warehouse
  6. IBM Watson Assistant

Answer(s): E

Explanation:

IBM® Db2® Warehouse provides a client-managed, preconfigured data warehouse that runs in private clouds, virtual private clouds and other container-supported infrastructures. IBM® Db2® Warehouse on Cloud is a fully managed, elastic cloud data warehouse that delivers independent scaling of storage and compute.
Incorrect Answers:
IBM Analytics Engine is a cloud-based service that enables data scientists to rapidly provision, manage, run and retire Apache Hadoop and Apache Spark clusters. IBM Analytics Engine provides an architecture for Hadoop clusters that decouples the compute and storage tiers. Instead of a permanent cluster formed of dual-purpose nodes, the Analytics Engine allows users to store data in an object storage layer such as IBM Cloud Object Storage and spins up clusters of compute notes when needed.

IBM Watson® Machine Learning provides a full range of tools and services so you can build, train, and deploy Machine Learning models. IBM Watson Machine Learning makes it easy for developers and data scientists to work together to integrate predictive capabilities with their applications. The Machine Learning service is a set of REST APIs that you can call from any programming language to develop applications that make smarter decisions, solve tough problems, and improve user outcomes.
IBM Watson® Knowledge Catalog is a data catalog tool that powers intelligent, self-service discovery of data, models and more. IBM Watson Knowledge Catalog can automatically discover and register data assets at the provided connection. As assets are added to the catalog, they are automatically indexed and classified, making it easy for users such as data engineers, data scientists, data stewards and business analysts to find, understand, share and use the assets.
Use Cases:
Improve data quality, manage data privacy and compliance, Enable self-service discovery and analysis IBM Watson® Discovery is an intelligent search service that delivers specific answers to questions while serving up an entire document for exploration. Watson Discovery lets you rapidly build cognitive, cloud-based exploration applications that unlock actionable insights hidden in unstructured data.

In a few steps, you can prepare your unstructured data, create a query that pinpoints the information you need, and integrate those insights into your applications. Available features include Smart Document Understanding (SDU), Search Skills, and IBM Watson Discovery News.
IBM Watson®Assistant:
Watson Assistant allows you to use the power of Watson to bring a conversational interface to your solution. Your customers can interact with Watson Assistant using natural language conversation.



Which statement best describes Event Streams?

  1. Provides API creation and management with security-rich features and centralized governance.
  2. Allows for connection of applications, automation of tasks with hundreds of built-in connectors.
  3. Provides enterprise-grade messaging capabilities such as point-to-point and publish subscribe models to facilitate the flow of information between applications.
  4. Integrates with Watson Internet of Things (IoT) and IBM Cloud functions to leverage event streams.

Answer(s): D

Explanation:

IBM Event Streams for IBM Cloud® is an event-streaming platform based on the Apache Kafka® project and incorporates the open-source Strimzi technology. It Integrates with Watson Internet of Things (IoT) and IBM Cloud functions to leverage event streams. IBM Event Streams for IBM Cloud® is a high-throughput message bus built with Apache Kafka. IBM Event Streams supports Apache Avro schemas, enabling your Kafka applications to use schemas to validate data structures and to encode and decode data. Event Streams provides a REST API to help connect your existing systems to your Event Streams Kafka cluster.
Incorrect Answers:
IBM® MQ provide messaging capabilities such as point-to-point and publish-subscribe models to facilitate the flow of information between applications. You can use IBM® MQ to enable applications to communicate at different times and in many diverse computing environments. IBM App Connect® is a powerful all-in-one tool for easily connecting apps, integrating data, building APIs, and acting on events. It can automatically copy and synchronize data between on-premises and cloud-based applications. it can connect any endpoint, map your data, and move data fast. With IBM App Connect®, you can reliably access and combine data assets across all your enterprise applications, databases, and systems and expose them as APIs. IBM App Connect® offer prebuilt, security-rich intelligent connectors let you connect applications on premises or in the cloud.

IBM API Connect® The tools that API Connect service provides will create and manage your APIs with security-rich features and centralized governance and business-level controls by setting varying levels of security, visibility, billing plans, and rate limits. You can use IBM API Connect for IBM Cloud to quickly create APIs for microservices based on Node.js and Java runtimes.



Kubernetes relies on ____ configuration files to maintain the application state? (Fill in the Blank)

  1. HTTP
  2. XML
  3. HTML
  4. YAML

Answer(s): D

Explanation:

Kubernetes relies on YAML configuration files to maintain the application state.



What is an important difference between containers and virtual machines?

  1. Containers virtualize hardware and VMs virtualize the operating system
  2. Containers virtualize the operating system and VMs virtualize the hardware
  3. Containers virtualize the operating system and VMs virtualize the registry
  4. VMs virtualize the hardware and Containers virtualize the registry

Answer(s): B

Explanation:

Containers are lightweight and portable executable units (images) of software. They supply portability between different platforms and clouds. Containers are self-contained units that are designed to hold applications as well as all libraries and dependencies that the application requires. Containers can be run on physical computers or in the cloud. Containers do not have an operating system of their own. Instead, they access the operating system of the device they are running on using a hypervisor. This allows them to be more light-weight, easier to provision, and much smaller than traditional virtual machines. Virtual machine is a virtual re-presentation of physical computer, you can understand it as a computer inside a computer. Each individual virtual machine behaves exactly as though it were its own computer. It has its own operating system, memory, storage, and compute and is totally unaware of other virtual machines that could be running on the same host.

How do containers differ from a traditional VM?
Traditional virtualization leverages a hypervisor to virtualize physical hardware. Each VM contains:
- A guest operating system (OS)
- A virtual copy of the hardware that the OS requires to run
- An application and its associated libraries and dependencies
- Containers, on the other hand, virtualize the operating system. Each container only contains:
- The application
- Its libraries
- Its dependencies



What service is the OpenShift platform built on?

  1. Tekton
  2. Jenkins
  3. Kubernetes
  4. TravisCI

Answer(s): C

Explanation:

Red Hat's® OpenShift® is an open-source container platform that runs on the Red Hat enterprise Linux operating system and Kubernetes. It's built upon Kubernetes. Red Hat's® OpenShift® on IBM Cloud enables customers to deploy and manage apps on Red Hat OpenShift clusters. These clusters run on the Red Hat OpenShift on IBM Cloud container platform software.
Red Hat's® OpenShift® is a Kubernetes container platform. It extends the Kubernetes platform enabling the customer to deploy their workloads across cloud providers. Additionally, they can create their own clusters or compute hosts either on IBM Cloud or VPC infrastructure. IBM Satellite enables Red Hat's® OpenShift® to be deployed and managed in any location. Benefits: Here are some of the benefits of Red Hat's® OpenShift®:
Fast and secure: Red Hat's® OpenShift® enables developers to containerize and deploy workloads quickly and securely.

Scalable: Red Hat's® OpenShift® enables developers to scale workloads across multiple data centers and multizone regions. Organizations can then monitor, log, and secure apps.



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