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Quiz

1/10
Delta Lake
Which of the following is a key benefit of using Delta Lake in modern data architectures?
Select the answer
1 correct answer
A.
Provides ACID transactions for reliable data operations
B.
Supports both batch and streaming data processing
C.
Enables schema enforcement and seamless schema evolution
D.
All of the above

Quiz

2/10
Data Management
How does data management in a Delta Lake environment best handle schema changes?
Select the answer
1 correct answer
A.
By strictly enforcing an unchangeable schema
B.
By using built-in schema evolution features to automatically adjust to changes
C.
By requiring manual updates to table definitions
D.
By keeping multiple versions of the data without any schema updates

Quiz

3/10
Data Engineering Concepts
Which of the following best describes the concept of data partitioning in a distributed data engineering environment?
Select the answer
1 correct answer
A.
It is a method for dividing a dataset into segments based on specific criteria to optimize performance and parallel processing
B.
It means replicating the entire dataset on all available nodes to ensure redundancy
C.
It involves compressing data to save storage space at the expense of processing speed
D.
It refers to encrypting data to secure it during transmission between nodes

Quiz

4/10
Data Pipeline Development
When developing data pipelines in Databricks for real-time analytics, which feature is used to manage late arriving data and prevent duplicate processing?
Select the answer
1 correct answer
A.
Watermarking
B.
Caching
C.
Window Aggregations
D.
Delta Lake ACID transactions

Quiz

5/10
Data Ingestion and ETL Processes
In Databricks, which built-in feature can be used to continuously detect and ingest new data files from cloud storage?
Select the answer
1 correct answer
A.
Databricks Auto Loader
B.
Traditional batch ingestion using Apache Spark
C.
Manual file uploads
D.
Custom ingestion scripts

Quiz

6/10
Databricks Workspace and Notebooks
What is the primary purpose of a Databricks notebook in the Databricks workspace?
Select the answer
1 correct answer
A.
A workspace tool for interactive development, visualization, and collaboration
B.
A service for deploying production models
C.
A tool for batch processing data without interactivity
D.
A data integration service for moving data between sources

Quiz

7/10
Delta Lake and Data Management
What is Delta Lake and how does it enhance data lake capabilities in a data engineering environment?
Select the answer
1 correct answer
A.
A storage layer that adds reliability to data lakes through ACID transactions
B.
A query engine optimized for large datasets
C.
A new distributed file system replacing HDFS
D.
A tool for real-time streaming only

Quiz

8/10
Apache Spark Basics
What is the primary data abstraction in Apache Spark?
Select the answer
1 correct answer
A.
Resilient Distributed Dataset
B.
DataFrame
C.
Dataset
D.
Spark Context

Quiz

9/10
Spark SQL and DataFrames
Which Spark SQL method is used to read a JSON file into a DataFrame?
Select the answer
1 correct answer
A.
spark.read.json
B.
spark.sql.json
C.
spark.createDataFrame.json
D.
spark.load.json

Quiz

10/10
Lakehouse Architecture and Best Practices
Which of the following best describes the Lakehouse architecture?
Select the answer
1 correct answer
A.
It serves as a centralized repository for unstructured data only
B.
It integrates the architecture of a data lake with that of a data warehouse by supporting ACID transactions, unified metadata, and handling both structured and unstructured data
C.
It is solely an analytics tool for real-time processing
D.
It focuses exclusively on batch processing with minimal metadata management
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  • Quiz name:Certified Data Engineer Associate
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