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1 / 51

What is the benefit of using IBM Watson Machine Learning in Cloud Pak for Data?

To build and deploy machine learning models

To clean raw data

To manage cloud infrastructure

To visualize data in real-time

2 / 51

Which of the following is required to enable the installation of IBM Cloud Pak for Data?

A physical server

A dedicated database instance

A dedicated file storage system

A Red Hat OpenShift environment

3 / 51

Which of the following best describes the role of the Control Plane in IBM Cloud Pak for Data?

It visualizes machine learning models

It performs data transformation and cleaning

It serves as the database for Cloud Pak for Data

It orchestrates and manages the overall system environment

4 / 51

What feature does IBM Cloud Pak for Data offer to ensure compliance with data privacy regulations?

Data Storage

Data Governance

Data Replication

Data Encryption

5 / 51

IBM Cloud Pak for Data supports which of the following environments for deployment?

Only public cloud

Only private cloud

Hybrid cloud environments

Local data centers only

6 / 51

Which of the following components of IBM Cloud Pak for Data provides a unified interface for managing data governance and security?

DataStage

Watson Studio

IBM Control Center

Watson Knowledge Catalog

7 / 51

Which of the following is the first step when setting up IBM Cloud Pak for Data in a hybrid cloud environment?

Set up Watson Studio

Install the Cloud Pak for Data operator on OpenShift

Define user roles and access policies

Configure cloud storage

8 / 51

What is the purpose of IBM Watson Knowledge Catalog in Cloud Pak for Data?

Manage and organize enterprise data assets

Perform data storage encryption

Transform raw data

Build machine learning models

9 / 51

In IBM Cloud Pak for Data, which of the following services can be used to deploy models into production environments?

Watson Studio

Watson Machine Learning

Data Virtualization

OpenShift Pipelines

10 / 51

What is the purpose of the Data Refinery tool within IBM Cloud Pak for Data?

Perform data visualization

Build machine learning models

Integrate data from multiple sources

Prepare and transform raw data into a usable format

11 / 51

IBM Cloud Pak for Data is built on which of the following container orchestration platforms?

Mesos

OpenShift

Kubernetes

Docker Swarm

12 / 51

IBM Cloud Pak for Data integrates with which of the following data storage technologies?

Any relational database

Cloud-native object storage

NoSQL databases and file systems

Microsoft SQL Server only

13 / 51

Which IBM tool enables users to monitor and track the health and performance of Cloud Pak for Data components?

Watson Studio

IBM Control Center

OpenShift Monitoring

IBM Monitoring and Management

14 / 51

In IBM Cloud Pak for Data, what is the role of the Data Fabric?

To optimize data queries

To connect and manage distributed data sources

To provide cloud storage for large datasets

To train machine learning models

15 / 51

Which component of IBM Cloud Pak for Data is used to ensure the security and compliance of data across various environments?

IBM Data Virtualization

Watson Knowledge Catalog

IBM InfoSphere Information Server

IBM Cloud Pak for Data Security

16 / 51

Which of the following is the primary goal of the IBM Cloud Pak for Data installation process?

Configure data sources

Encrypt sensitive data

Deploy machine learning models

Set up the foundation for data science and AI

17 / 51

IBM Cloud Pak for Data is designed to be deployed on which type of cloud platform?

Hybrid Cloud

Public Cloud only

On-premises only

Private Cloud only

18 / 51

Which of the following tools can be used to track and manage machine learning models in IBM Cloud Pak for Data?

Watson Studio

Data Virtualization

Watson Machine Learning

IBM Control Center

19 / 51

What is the primary function of the IBM Cloud Pak for Data’s Control Plane?

Manage and orchestrate services and applications

Perform machine learning model evaluation

Store unstructured data

Integrate different data sources

20 / 51

Which of these IBM Cloud Pak for Data tools enables self-service data preparation and analytics?

Data Refinery

Watson Studio

IBM InfoSphere DataStage

Watson Knowledge Catalog

21 / 51

IBM Watson Studio primarily supports which of the following activities?

Data integration

Model development and training

Data storage management

Data security enforcement

22 / 51

Which of the following describes the role of IBM Data Virtualization in Cloud Pak for Data?

Encrypt sensitive data

Manage data storage

Build and deploy models

Provide a unified view of distributed data

23 / 51

Which OpenShift feature is used to scale IBM Cloud Pak for Data deployments automatically?

OpenShift CLI

Red Hat Satellite

Kubernetes Pods

OpenShift Operators

24 / 51

Which feature of IBM Cloud Pak for Data allows users to analyze and visualize data using interactive dashboards?

Data Refinery

Watson Studio

Cognos Analytics

Watson Knowledge Catalog

25 / 51

Which IBM Cloud Pak for Data component provides the ability to integrate and analyze data from multiple sources in real-time?

Data Virtualization

Watson Studio

Data Refinery

OpenShift

26 / 51

What is the first step in installing IBM Cloud Pak for Data on OpenShift?

Connecting to external data sources

Installing the Cloud Pak for Data operator

Installing storage options

Configuring user access

27 / 51

What is the function of IBM Watson Knowledge Catalog in Cloud Pak for Data?

Store data securely

Visualize data insights

Create machine learning models

Organize, classify, and manage data

28 / 51

IBM Cloud Pak for Data is deployed on which container management platform?

Mesos

Docker

Kubernetes

Apache Hadoop

29 / 51

Which storage system does IBM Cloud Pak for Data integrate with to manage large datasets?

Amazon S3

Azure Blob Storage

IBM Cloud Object Storage

Google Cloud Storage

30 / 51

Which of the following is a key feature of the IBM Watson Studio?

Data cleaning

User authentication

Network configuration

Model deployment and monitoring

31 / 51

What is the role of the IBM DataStage in Cloud Pak for Data?

Cloud management

Data storage management

Creating machine learning models

Data integration and transformation

32 / 51

Which component is responsible for managing security and user access in IBM Cloud Pak for Data?

Control Plane

Watson Studio

Data Virtualization

IBM Cloud Pak for Data Operator

33 / 51

What is the purpose of IBM Cloud Pak for Data?

Store unstructured data only

Automate cloud infrastructure

Manage network configurations

Provide a platform for data science and AI

34 / 51

What is the role of Data Virtualization in IBM Cloud Pak for Data?

Store data

Analyze data

Visualize data

Integrate data sources

35 / 51

Which tool in IBM B2B Collaboration solutions helps clean, transform, and prepare data for analytics?

Watson Studio

Data Refinery

Data Virtualization

Watson Knowledge Catalog

36 / 51

Which IBM B2B Collaboration solution helps manage and onboard partner communities?

Connect:Direct

B2B Integrator

B2B Onboarding Manager

Partner Engagement Manager

37 / 51

In what market is Connect:Direct the industry leader?

Data translation

Partner onboarding

Point-to-point file transfer

Connecting and monitoring systems

38 / 51

Which product in the MFT portfolio is a market leader, and has NEVER been breached?

ITXA

B2B Integrator

Connect:Direct

WebSphere Commerce

39 / 51

What is the key difference between the pricing models for Connect:Direct Premium versus Standard editions?

The Premium edition is priced by PVUs, while the Standard edition is priced by simultaneous sessions

The Premium edition can talk to many endpoints, while the Standard edition can only talk to one endpoint

The price of the Premium edition includes unlimited non-production environments, while the environments are limited on the Standard edition

The Premium edition includes the C:D High Speed add-on for long distance and large file transport, and this add-on is available for purchase on the Standard edition

40 / 51

Based on the battle card, who is a top competitor for IBM’s B2B Collaboration offerings?

Axway

RSSBus

FileZilla

Control Center

41 / 51

When meeting with business users who are more involved in the day-to-day activities, what is a key discovery question that will help Connect:Direct win by highlighting its value play?

Is FTP secure enough?

What is your budget?

What programming language is the most supported in your company?

What solutions have been tried in the past or are in place for this problem?

42 / 51

Which is a competitor you will likely face for B2B Collaboration solutions?

Axway

GlobalSCAPE

Adobe

ClickTale

Salesforce

43 / 51

Which B2B Collaborationsolutions offering facilities the onboarding process and manages the partner community?

Partner Engagement Manager

B2B Onboarding Manager

Connect:Direct

B2B Integrator

44 / 51

Which offering is NOT a part of B2B Collaboration solutions?

Web Forms

Sterling B2B integrator

Sterling Secure Proxy

IBM Global High-Availability Mailbox

IBM Transformation Extender

45 / 51

Who is IBM B2B Software’s biggest competitor. In terms of B2B Cloud Services offering?

Axway

Opentext/GXS

TIBCO

webMethods

46 / 51

Who is considered a key buyer for B2B Collaboration solutions?

Business Continuity Manager

Chief marketing Officer

Chief Financial Officer

Chief Supply Chain Officer

47 / 51

Which two offerings are included in B2B Collaboration solutions?

B2B Software, Partner Engagement Manager

Order Management, Supply Chain Insights

Partner Engagement Manager, Order Management

Supply Chain Insights, Partner Engagement Manager

Store Engagement, Order Management

48 / 51

What is the primary value proposition for MFT?

Enabling unsecure and unaudited file exchanges to occur throughout the organization

Bundles enveloping, pre-processing, mapping, de-enveloping, and post processing into a single tool which is very effective for EDI

Tracking and managing partner skills and engagement

Allowing clients to integrate business processes by sending/receiving files with their trading community

49 / 51

For B2B Collaboration Solutions, each instance of QA, Dev or Test in a separate license and part number. What does IBM typically charge for each non-production deployment?

50% of the charge for production

75% of the charge for production

100% or the same charge as for production

25% of the charge for production

50 / 51

Who is the primary target audience for MFT?

Chief Supply Chain Officer

Senior Fulfillment Manager

Chief Financial Officer

IT Director

51 / 51

When meeting with the Chief Supply Officer for PEM, which set of prospecting questions would be the MOST appropriate?

What is the average number of line items on your hardcopy Purchase Orders? How many pages it is usually?

How long does it take you to recognize value from a new trading partner relationship? When do you start getting revenue in the partner onboarding cycle?

What percentage of orders is managed electronically? What percentage of orders is managed manually?

Do you want to deploy the partner engagement solution on IBM managed cloud? Or behind your firewall?

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Free P1000-015 Practice Test – 2025 Updated

Prepare Smarter for the P1000-015 Exam with Our Free and Accurate P1000-015 Exam Questions – Updated for 2025.

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