Databricks Certified Data Engineer Associate Exam Practice Questions (P. 1)
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Question #1
A data organization leader is upset about the data analysis team’s reports being different from the data engineering team’s reports. The leader believes the siloed nature of their organization’s data engineering and data analysis architectures is to blame.
Which of the following describes how a data lakehouse could alleviate this issue?
Which of the following describes how a data lakehouse could alleviate this issue?
- ABoth teams would autoscale their work as data size evolves
- BBoth teams would use the same source of truth for their workMost Voted
- CBoth teams would reorganize to report to the same department
- DBoth teams would be able to collaborate on projects in real-time
- EBoth teams would respond more quickly to ad-hoc requests
Correct Answer:
B
B

A data lakehouse facilitates the use of a unified data repository that acts as a single source of truth. This setup ensures both data engineering and data analysis teams access and analyze the same datasets, which greatly diminishes inconsistencies in reports that are common in siloed architectures. Essentially, it keeps everyone on the same page and enhances data integrity across different teams.
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Question #2
Which of the following describes a scenario in which a data team will want to utilize cluster pools?
- AAn automated report needs to be refreshed as quickly as possible.Most Voted
- BAn automated report needs to be made reproducible.
- CAn automated report needs to be tested to identify errors.
- DAn automated report needs to be version-controlled across multiple collaborators.
- EAn automated report needs to be runnable by all stakeholders.
Correct Answer:
E
E

Cluster pools are essential when you have multiple stakeholders needing to run an automated report because they provide the flexibility of shared resources. This means all users have access to necessary compute resources without the delays associated with setting up individual clusters. Furthermore, using cluster pools ensures better resource allocation and management, making it ideal when diverse stakeholders need consistent and concurrent access to data operations. This aligns perfectly with ensuring automated reports are accessible and runnable by all relevant parties, thus enhancing collaboration and data-driven decision-making processes across various departments or groups within an organization.
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Question #3
Which of the following is hosted completely in the control plane of the classic Databricks architecture?
- AWorker node
- BJDBC data source
- CDatabricks web applicationMost Voted
- DDatabricks Filesystem
- EDriver node
Correct Answer:
E
E

The correct component hosted entirely in the control plane within the classic Databricks architecture is, indeed, the Databricks web application. This component, pivotal for managing the environment, handles tasks like cluster provisioning, notebook management, and job scheduling. Other elements like worker nodes, JDBC data sources, the Databricks Filesystem, and driver nodes, are linked to the data plane or execution layers, focusing primarily on task execution and data handling. This precision in role allotment ensures streamlined operations and management within the architecture. Thus, the Databricks web application (Option C) should be seen as the correct answer here, not the driver node as previously designated.
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Question #4
Which of the following benefits of using the Databricks Lakehouse Platform is provided by Delta Lake?
- AThe ability to manipulate the same data using a variety of languages
- BThe ability to collaborate in real time on a single notebook
- CThe ability to set up alerts for query failures
- DThe ability to support batch and streaming workloadsMost Voted
- EThe ability to distribute complex data operations
Correct Answer:
D
D

Delta Lake, a crucial element of the Databricks Lakehouse Platform, distinctly enables both batch and streaming workloads. This capability ensures you can handle real-time data analysis and large-scale batch processing with the same infrastructure, making it versatile for diverse data engineering tasks. The other options, although beneficial aspects of Databricks, do not specifically pertain to the functionalities offered by Delta Lake.
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Question #5
Which of the following describes the storage organization of a Delta table?
- ADelta tables are stored in a single file that contains data, history, metadata, and other attributes.
- BDelta tables store their data in a single file and all metadata in a collection of files in a separate location.
- CDelta tables are stored in a collection of files that contain data, history, metadata, and other attributes.Most Voted
- DDelta tables are stored in a collection of files that contain only the data stored within the table.
- EDelta tables are stored in a single file that contains only the data stored within the table.
Correct Answer:
C
C

Delta tables use a strong organizational strategy by storing their components in multiple files within a directory. This setup includes Parquet files for data, along with distinct directories for metadata and transaction logs. Such an arrangement supports enhanced features like full transactional capabilities, data versioning, and comprehensive metadata management which enhances the integrity and efficiency of managing large datasets efficiently within Delta Lake environments. This structure is crucial for maintaining the ACID properties that are pivotal for reliable and robust data handling in big data scenarios.
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