M2090-743 Exam Questions

A major differentiator for the Watson Foundations is:

When talking to an IT buyer who thinks that Operations Analysis sounds difficult, which response does NOT apply?

The main buyer who holds the budget for an enhanced 360 view solution and an operational analysis solution is:

Who are key stakeholders in the Data Warehouse Modernization conversation?

What is a good entry point for Data Warehouse Modernization?

What do you tell a customer who tells you, "Big Data equals Hadoop."

Why is IBM a strong player in Data Warehouse Modernization?

Customer sentiment is typically discovered through analysis of this type of data:

What is the problem Watson Explorer solves for our customer?

What do you tell a customer that tells you Data Warehousing is obsolete?

In which industries is personalization of product bundles and service a relevant project for Enhanced 360?

Typically social media is characterized as {structured or unstructured} data and is located {internal or external} to an organization. Choose the correct combination.

Which of the following describes machine data?

If a prospect states that in general the Data Warehouse Era is over, what would be a good reply?

What are compelling reasons for a business to act on modernization?

What is the problem BigInsights solves for our customer?

IBM Data Warehouse solutions include Cloud and Software but not Appliance.

Which of the following is probably not a good candidate for Operations Analysis? Someone who is:

The IBM Watson Foundations are made up of different data zones that match to different data analysis needs.

What is InfoSphere Streams?

Infosphere Streams is the best product to analyze data at rest.

Big Data should remain in a silo repository to maintain its integrity.

Hadoop is an open source software project that enables the distributed processing of large data sets across clusters of commodity servers.

What percentage of the world's data is unstructured?

Infosphere Streams does not allow for the combining of high velocity real-time data with data in a warehouse for historical analysis.

A financial services organization can leverage Internet Scale Analytics to:

Hadoop is a product of:

Use cases of analytics of data in motion refers to:

With a Big Data platform an organization can

Top Industry Big Data use cases include:

Hadoop is designed to scale up from a single server to thousands of machines, but with:

Infosphere BigInsights enables a computing solution that is:

Infosphere Streams does not feature:

IBM Big Data platform allows an organization to bring together any data source, at any velocity, to generate insight.

The analytic capabilities that come built-in with the Big Data platform include:

The IBM Big Data Platform Delivers:

Which is NOT a Big Data use case example?

Big Data use cases include:

The Big Data Smart Grid/ Smarter Utilities functionality is part of the larger Smarter Planet initiative.

A Telephony industry use case for Streams might be:

InfoSphere Streams is capable of integrating with:

The Big Data Opportunity is extracting insight from structured and unstructured data, in context, beyond what was previously possible.

The analytic capabilities that come built-in with the Big Data platform include:

Applications for Big Data are:

Unique features in InfoSphere Streams include:

BigSheets is used for:

The Enterprise Class characteristics of Infosphere Streams provide:

IBM Big Data Platform Interoperates with:

V3 in Big Data terminology stands for:

Infosphere Streams runtime optimizations deliver: