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Databricks Certified Data Engineer Associate Exam Sample Questions (Q70-Q75):

NEW QUESTION # 70
A data engineer needs to provide access to a group named manufacturing-team. The team needs privileges to create tables in the quality schema.
Which set of SQL commands will grant a group named manufacturing-team to create tables in a schema named production with the parent catalog named manufacturing with the least privileges?

Answer: A

NEW QUESTION # 71
Which of the following describes the relationship between Gold tables and Silver tables?

A. Gold tables are more likely to contain truthful data than Silver tables.
B. Gold tables are more likely to contain more data than Silver tables.
C. Gold tables are more likely to contain a less refined view of data than Silver tables.
D. Gold tables are more likely to contain valuable data than Silver tables.
E. Gold tables are more likely to contain aggregations than Silver tables.

Answer: C

NEW QUESTION # 72
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?

A. Both teams would reorganize to report to the same department
B. Both teams would be able to collaborate on projects in real-time
C. Both teams would use the same source of truth for their work
D. Both teams would autoscale their work as data size evolves
E. Both teams would respond more quickly to ad-hoc requests

Answer: C

Explanation:
Explanation
A data lakehouse is designed to unify the data engineering and data analysis architectures by integrating features of both data lakes and data warehouses. One of the key benefits of a data lakehouse is that it provides a common, centralized data repository (the "lake") that serves as a single source of truth for data storage and analysis. This allows both data engineering and data analysis teams to work with the same consistent data sets, reducing discrepancies and ensuring that the reports generated by both teams are based on the same underlying data.

NEW QUESTION # 73
Which query is performing a streaming hop from raw data to a Bronze table?

Answer: D

Explanation:
The query performing a streaming hop from raw data to a Bronze table is identified by using the Spark streaming read capability and then writing to a Bronze table. Let's analyze the options:
* Option A: Utilizes .writeStream but performs a complete aggregation which is more characteristic of a roll-up into a summarized table rather than a hop into a Bronze table.
* Option B: Also uses .writeStream but calculates an average, which again does not typically represent the raw to Bronze transformation, which usually involves minimal transformations.
* Option C: This uses a basic .write with .mode("append") which is not a streaming operation, and hence not suitable for real-time streaming data transformation to a Bronze table.
* Option D: It employs spark.readStream.load() to ingest raw data as a stream and then writes it out with .writeStream, which is a typical pattern for streaming data into a Bronze table where raw data is captured in real-time and minimal transformation is applied. This approach aligns with the concept of a Bronze table in a modern data architecture, where raw data is ingested continuously and stored in a more accessible format.
References:Databricks documentation on Structured Streaming: Structured Streaming in Databricks

NEW QUESTION # 74
A data engineer has been given a new record of data:
id STRING = 'a1'
rank INTEGER = 6
rating FLOAT = 9.4
Which of the following SQL commands can be used to append the new record to an existing Delta table my_table?

A. UPDATE VALUES ('a1', 6, 9.4) my_table
B. UPDATE my_table VALUES ('a1', 6, 9.4)
C. INSERT VALUES ( 'a1' , 6, 9.4) INTO my_table
D. my_table UNION VALUES ('a1', 6, 9.4)
E. INSERT INTO my_table VALUES ('a1', 6, 9.4)

Answer: E

Explanation:
To append a new record to an existing Delta table, you can use the INSERT INTO statement with the VALUES clause. This statement will insert one or more rows into the table with the specified values. Option A is the only code block that follows this syntax correctly. Option B is incorrect, as it uses the UNION operator, which will return a new table that is the union of two tables, not append to an existing table. Option C is incorrect, as it uses the INSERT VALUES statement, which is not a valid SQL syntax. Option D is incorrect, as it uses the UPDATE statement, which will modify existing rows in the table, not append new rows. Option E is incorrect, as it uses the UPDATE VALUES statement, which is also not a valid SQL syntax. Reference: Insert data into a table using SQL | Databricks on AWS, Insert data into a table using SQL - Azure Databricks, Delta Lake Quickstart - Azure Databricks

NEW QUESTION # 75
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Fast and Effective Preparation With Databricks-Certified-Data-Engineer-Associate Databricks Certified Data Engineer Associate Exam Exam Questions

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Databricks Certified Data Engineer Associate Exam Sample Questions (Q70-Q75):

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