Talend-Core-Developer Exam Questions - Navigate Your Path to Success

The Talend Core Certified Developer Exam (Talend-Core-Developer) exam is a good choice for Talend Data Engineers and Developers and if the candidate manages to pass Talend Core Certified Developer Exam, he/she will earn Talend Core Certified Developer Certification. Below are some essential facts for Talend Talend-Core-Developer exam candidates:

In actual Talend Core Certified Developer Exam (Talend-Core-Developer) exam, a candidate can expect 55 Questions and the officially allowed time is expected to be around 90 Minutes.
TrendyCerts offers 55 Questions that are based on actual Talend-Core-Developer syllabus.
Our Talend-Core-Developer Exam Practice Questions were last updated on: Apr 26, 2025

Sample Questions for Talend-Core-Developer Exam Preparation

Question 1

Which aspects contribute to the calculation of the validity of a dataset? Choose 2 answers.

AUse of user ratings and certification

BNumber of valid and invalid values across the dataset sample

CUse of semantic types across the dataset sample

DNumber of empty rows across the dataset sample

Correct : B, C

Comprehensive and Detailed Explanation:

The validity of a dataset in Talend's Trust Score framework is determined by:

Number of valid and invalid values across the dataset sample (Option B):

This metric assesses the quality of the data by evaluating the proportion of valid entries compared to invalid ones. A higher number of valid values indicates better data quality.

Use of semantic types across the dataset sample (Option C):

Semantic types help in understanding the meaning and context of data fields. Consistent and correct application of semantic types ensures that data is interpreted accurately, contributing to its validity.

Why not other options?

Option A: User ratings and certification pertain to the popularity axis, reflecting user trust and endorsement, not the intrinsic validity of the data.

Option D: The number of empty rows relates to the completeness axis, indicating missing data, rather than directly affecting validity.

Options Selected by Other Users:

Question 2

You want to improve the Trust Score of your dataset as a dataset owner. Which actions should you perform? Choose 2 answers.

AImprove the quality of the dataset using Pipeline Designer

BChange the dataset score manually

CUse the dataset in an ETL Job

DAdd ratings to the dataset

Correct : A, D

Comprehensive and Detailed Explanation:

To enhance the Trust Score of a dataset:

Improve the quality of the dataset using Pipeline Designer (Option A):

Utilizing Talend's Pipeline Designer allows you to cleanse, transform, and enrich your data, thereby improving its quality and, consequently, its Trust Score.

Add ratings to the dataset (Option D):

Encouraging users to rate the dataset increases its popularity metric, positively impacting the overall Trust Score.

Why not other options?

Option B: The Trust Score is automatically calculated based on specific metrics; it cannot be manually altered.

Option C: While using the dataset in ETL jobs indicates its utility, it does not directly influence the Trust Score unless it affects metrics like usage or popularity.