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Itronix Data Engineering Professional Certification Program Answers

A Data Engineering Professional Certificate is a specialized training program or certification designed to equip individuals with the knowledge and skills required to work in the field of data engineering. This certificate program typically covers various aspects of data architecture, data integration, data processing, and data management.

Requirements

  • Data Security
  • Cloud Data Services
  • Data Warehousing
  • Big Data
  • Data Integration
  • Data Architecture

What is the primary role of a data engineer?

a) Data visualization
b) Data analysis
c) Building and maintaining data pipelines
d) Database administration

Correct answer : c) Building and maintaining data pipelines

2.
What does ETL stand for in the context of data engineering?

a) Extract, Transform, Load
b) Extract, Transfer, Load
c) Extract, Tag, Load
d) Extract, Transmit, Log

Correct answer : a) Extract, Transform, Load

3.
Which of the following is NOT a common data storage format used in data engineering?

a) JSON
b) CSV
c) HTML*
d) Parquet

4.
What is the purpose of data transformation in the ETL process?

a) Extracting data from source systems
b) Loading data into a data warehouse
c) Converting data into a suitable format for analysis
d) Transferring data between servers

Correct answer : c) Converting data into a suitable format for analysis

5.
Which database type is best suited for handling unstructured and semi-structured data?

a) Relational database
b) NoSQL database**
c) In-memory database
d) Columnar database

6.
What is a data lake in data engineering?

a) A large body of water used for cooling data servers
b) A repository for storing raw, unstructured data
c) A type of data visualization tool
d) A database management system

Correct answer : b) A repository for storing raw, unstructured data

7.
What does the term “batch processing” refer to in data engineering?

a) Processing data in real-time as it arrives
b) Processing data in small chunks
c) Processing data in large, scheduled jobs*
d) Processing data using machine learning algorithms

8.
Which technology is commonly used for distributed data processing in data engineering?

a) Excel
b) Hadoop
c) MySQL
d) SQLite
Correct answer : b) Hadoop
9.
What is the primary purpose of data indexing in database systems?

a) Storing large datasets
b) Sorting data alphabetically
c) Improving data retrieval speed
d) Encrypting sensitive data
Correct answer : c) Improving data retrieval speed

10.
What is a data warehouse in data engineering?

a) A storage facility for physical data records
b) A secure location for data backups
c) A centralized repository for structured data used for analysis**
d) A tool for visualizing data patterns
Correct.

11.
In the context of data engineering, what does “schema” refer to?

a) A programming language
b) A data storage format
c) The structure and organization of data tables*
d) A type of data transformation

Correct.

12.
What is the purpose of data compression in data engineering?

a) Reducing the quality of data for storage efficiency
b) Decreasing data retrieval speed
c) Reducing storage space requirements
d) Encrypting data for security purposes
Correct answer : c) Reducing storage space requirements

13.
What is a common use case for stream processing in data engineering?

a) Analyzing historical data
b) Handling real-time data from sensors or social media feeds**
c) Creating data backups
d) Sorting data in ascending order
.

14.
What is the primary advantage of columnar databases for analytical workloads in data engineering?

a) They are optimized for transactional data.
b) They use a row-based storage format.
c) They provide fast query performance for aggregations and analytics.
d) They have limited scalability.
Wrong!!
Correct answer : c) They provide fast query performance for aggregations and analytics.

15.
What is the role of data governance in data engineering?

a) Managing hardware infrastructure
b) Ensuring data quality, security, and compliance
c) Developing data visualization tools
d) Conducting data analysis
Correct answer : b) Ensuring data quality, security, and compliance

16.
What is the primary goal of data partitioning in data engineering?

a) Dividing data into multiple segments for analysis
b) Encrypting data for security
c) Loading data into a data lake
d) Reducing data storage costs
Correct answer : a) Dividing data into multiple segments for analysis

17.
Which of the following is NOT a common data serialization format used for data interchange in data engineering?

a) JSON
b) XML
c) YAML
d) SQL
Correct answer : d) SQL

18.
What is the purpose of data lineage in data engineering?

a) Tracking the movement and transformation of data throughout the data pipeline
b) Categorizing data into different types
c) Creating data visualizations
d) Managing data storage
Correct answer : a) Tracking the movement and transformation of data throughout the data pipeline

19.
In the context of data engineering, what does “data latency” refer to?

a) The time it takes to compress data
b) The time it takes to process data in real-time
c) The delay between data generation and its availability for analysis
d) The accuracy of data measurements
Correct answer : c) The delay between data generation and its availability for analysis

20.
Which tool or technology is commonly used for workflow orchestration in data engineering?

a) Microsoft Excel
b) Apache Kafka
b) Apache Kafka
d) Python programming language
Correct answer : b) Apache Kafka

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