Itronix SolutionItronix Solution Data Engineering Professional Certification Program Answers

The Data Engineering Professional Certificate program is your pathway to becoming a skilled data engineer, adept at architecture, managing, and optimising data pipelines. In today’s data-driven world, organisations rely on data engineers to ensure the efficient collection, storage, and processing of data. This program offers a comprehensive curriculum to prepare you for a successful career in data engineering.

itronix solution data engineering professional certification video

What is the primary role of a data engineer?

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

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

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

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

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

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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

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

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

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

a) Excel
b) Hadoop
c) MySQL
d) SQLite

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

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

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

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

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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

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.

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

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

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

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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

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

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

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