Welcome! Preparing for the Qlik Talend Data Quality Implementer (TDQCI) certification exam can be a daunting task, but we're here to make it easier for you. Here are the sample questions that will help you become familiar with the Qlik TDQCI exam style and structure. We encourage you to try our Demo Qlik Talend Data Quality Implementer Certification Practice Exam to measure your understanding of the exam structure in an environment that simulates the actual test environment.
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Qlik TDQCI Sample Questions:
01. What is the purpose of reconciliation in a data quality pipeline?
a) To validate business rule definitions
b) To encrypt sensitive fields
c) To compare and align data between source and target systems
d) To synchronize test and production environments
02. Which of the following is a key difference between Data Inventory and Data Preparation in Talend?
a) Data Inventory handles ETL scheduling
b) Data Inventory is for masking datasets only
c) Data Preparation is used only for metadata
d) Data Preparation allows applying transformation steps
03. How are semantic types utilized in Talend Cloud Data Preparation?
a) They classify and validate column data
b) They encrypt sensitive fields
c) They filter out duplicate records
d) They enable rule-based transformations
04. When managing data using Talend Studio with Data Preparation components, which of the following are advantages?
(Choose two)
a) Cloud-only automation
b) Job orchestration
c) Recipe import
d) Inline campaign building
05. Which type of data quality analysis helps identify duplication issues across records?
a) Sampling inspection
b) Statistical profiling
c) Pattern analysis
d) Matching analysis
06. In Talend Cloud Data Stewardship, what kind of data can be managed using campaigns?
a) Any structured data requiring validation or correction
b) Only pre-transformed datasets
c) Binary or image data
d) Machine learning datasets only
07. Which feature ensures only authorized users can access specific campaigns in Talend Cloud Data Stewardship?
a) Role-based access control
b) IP Whitelisting
c) Public data flags
d) Schema partitioning
08. What are the benefits of integrating business rules into ETL workflows?
(Choose two)
a) Improved performance logging
b) Dynamic API provisioning
c) Automated decision logic
d) Real-time data validation
09. Which actions can be performed using the API in Talend Cloud Data Inventory?
(Choose two)
a) Schedule campaign workflows
b) Fetch dataset metadata
c) Retrieve profiling statistics
d) Apply data matching rules
10. What happens when a task is rejected in a campaign by a data steward?
a) It requires manual validation or reassignment
b) It is automatically corrected
c) It is reassigned to another campaign
d) It is archived and hidden from view
Answers:
|
Question: 1 |
Answer: c |
Question: 2 |
Answer: d |
|
Question: 3 |
Answer: a |
Question: 4 |
Answer: b, c |
|
Question: 5 |
Answer: d |
Question: 6 |
Answer: a |
|
Question: 7 |
Answer: a |
Question: 8 |
Answer: c, d |
|
Question: 9 |
Answer: b, c |
Question: 10 |
Answer: a |
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