Microsoft DP-203 Data Engineering on Microsoft Azure 11 31Oct2024 - Practice Quiz

Study path

The free lane is only the front row

Keep the free practice test in view while the left rail shows everything else waiting behind it.

Free practice for Microsoft DP-203 Data Engineering on Microsoft Azure

Answered

Wrong

Progress

Accuracy

Preview progress0/30

Ready score12%

This free quiz stays in the main area. The rail on the left shows the bigger study system waiting behind premium access.

Unlocked now

Free practice test

Unlocked

Start answering and the free lane begins filling up immediately

Instant explanations

Unlocked

Every answered free question now shows the explanation directly after you check it

Progress snapshot

Unlocked

Questions answered, wrong-answer rate, and readiness update live while you practice

Waiting to unlock

Detailed dashboard

Locked

Readiness trend, progress bars, wrong-answer review, and weak-domain coverage

Wrong-answer recovery

Locked

Auto-queue every miss for targeted recovery instead of losing it after one attempt

Flashcards

Locked

Quick recall decks for facts, terms, formulas, and repeated weak spots

Mind maps

Locked

Visual topic maps so harder objectives stop feeling scattered

Video courses

Locked

Guided topic walkthroughs for sections that still feel slow or confusing

4,300+ premium practice tests

Locked

The rest of the Certbie catalog stays visibly locked beside the free lane

13,900+ quiz sets

Locked

More depth across major vendors and long-tail niche certification tracks

Exam simulations

Locked

Longer timed practice sessions designed to feel much closer to the paid prep flow

Open Dashboard & Progress See Everything in Premium

Question 1 of 30

A data engineer is tasked with profiling a large dataset containing customer transactions to identify anomalies and ensure data quality before loading it into a data warehouse. The dataset includes fields such as transaction ID, customer ID, transaction amount, transaction date, and payment method. After performing data profiling, the engineer discovers that 15% of the transaction amounts are negative, which is unexpected. What is the most appropriate next step for the data engineer to take in response to this finding?

Investigate the source of the negative transaction amounts to determine if they are legitimate refunds or errors.

Remove all transactions with negative amounts from the dataset without further analysis.

Normalize the transaction amounts to a common scale to eliminate the negative values.

Report the negative transaction amounts to the management team as a data quality issue without further investigation.

Preparing for Microsoft DP-203 Data Engineering on Microsoft Azure? Now land the interview.

73% of qualified candidates get rejected because of weak resumes. Build an ATS-optimized, recruiter-ready resume in under 5 minutes - free to start.

Build My Resume Free