New Year Special 70% Discount Offer - Ends in 0d 00h 00m 00s - Coupon code: save70

Note! The P2090-047 Exam is no longer valid. To find out more, please contact us through our Live Chat or email us.

IBM P2090-047 Exam With Confidence Using Practice Dumps

Exam Code:
P2090-047
Exam Name:
IBM PureData System for Transactions Technical Mastery Test v1
Certification:
Vendor:
Questions:
132
Last Updated:
Dec 22, 2024
Exam Status:
Stable
IBM P2090-047

P2090-047: IBM Other Certification Exam 2024 Study Guide Pdf and Test Engine

Are you worried about passing the IBM P2090-047 (IBM PureData System for Transactions Technical Mastery Test v1) exam? Download the most recent IBM P2090-047 braindumps with answers that are 100% real. After downloading the IBM P2090-047 exam dumps training , you can receive 99 days of free updates, making this website one of the best options to save additional money. In order to help you prepare for the IBM P2090-047 exam questions and verified answers by IT certified experts, CertsTopics has put together a complete collection of dumps questions and answers. To help you prepare and pass the IBM P2090-047 exam on your first attempt, we have compiled actual exam questions and their answers. 

Our (IBM PureData System for Transactions Technical Mastery Test v1) Study Materials are designed to meet the needs of thousands of candidates globally. A free sample of the CompTIA P2090-047 test is available at CertsTopics. Before purchasing it, you can also see the IBM P2090-047 practice exam demo.

IBM PureData System for Transactions Technical Mastery Test v1 Questions and Answers

Question 1

Which procedural logic is NOT supported by NZPLSQL?

Options:

A.

Scrollable Cursors

B.

Looping (while, for)

C.

Conditionals (if/else)

D.

Returning a scalar result or a result set

Buy Now
Question 2

Which piece of information is NOT gathered as part of the statistical information when generate statistics is run on a table?

Options:

A.

The number of rows in the table.

B.

The number of updated rows in the table.

C.

The minimum and maximum value in each column.

D.

The number of unique or distinct values in each column.

Question 3

Using a date column as a distribution key may distribute rows evenly across dataslices, why is this a poor choice of a distribution key?

Options:

A.

Queries on the table will invoke compression.

B.

Queries on date range may involve processing skew.

C.

Queries on date range will utilize only host processing.

D.

Queries on the table will invoke compression on the date columns.