Databricks-Certified-Data-Engineer-Associate 無料問題集「Databricks Certified Data Engineer Associate」

Which of the following Structured Streaming queries is performing a hop from a Silver table to a Gold table?

解説: (JPNTest メンバーにのみ表示されます)
A dataset has been defined using Delta Live Tables and includes an expectations clause:
CONSTRAINT valid_timestamp EXPECT (timestamp > '2020-01-01') ON VIOLATION FAIL UPDATE What is the expected behavior when a batch of data containing data that violates these constraints is processed?

解説: (JPNTest メンバーにのみ表示されます)
A data engineer is maintaining a data pipeline. Upon data ingestion, the data engineer notices that the source data is starting to have a lower level of quality. The data engineer would like to automate the process of monitoring the quality level.
Which of the following tools can the data engineer use to solve this problem?

解説: (JPNTest メンバーにのみ表示されます)
A data analyst has a series of queries in a SQL program. The data analyst wants this program to run every day. They only want the final query in the program to run on Sundays. They ask for help from the data engineering team to complete this task.
Which of the following approaches could be used by the data engineering team to complete this task?

解説: (JPNTest メンバーにのみ表示されます)
A Delta Live Table pipeline includes two datasets defined using streaming live table. Three datasets are defined against Delta Lake table sources using live table.
The table is configured to run in Production mode using the Continuous Pipeline Mode.
What is the expected outcome after clicking Start to update the pipeline assuming previously unprocessed data exists and all definitions are valid?

解説: (JPNTest メンバーにのみ表示されます)
Which of the following can be used to simplify and unify siloed data architectures that are specialized for specific use cases?

解説: (JPNTest メンバーにのみ表示されます)
A data analysis team has noticed that their Databricks SQL queries are running too slowly when connected to their always-on SQL endpoint. They claim that this issue is present when many members of the team are running small queries simultaneously. They ask the data engineering team for help. The data engineering team notices that each of the team's queries uses the same SQL endpoint.
Which of the following approaches can the data engineering team use to improve the latency of the team's queries?

解説: (JPNTest メンバーにのみ表示されます)
A data engineer that is new to using Python needs to create a Python function to add two integers together and return the sum?
Which of the following code blocks can the data engineer use to complete this task?

解説: (JPNTest メンバーにのみ表示されます)
A data engineer wants to create a new table containing the names of customers who live in France.
They have written the following command:
CREATE TABLE customersInFrance
_____ AS
SELECT id,
firstName,
lastName
FROM customerLocations
WHERE country = 'FRANCE';
A senior data engineer mentions that it is organization policy to include a table property indicating that the new table includes personally identifiable information (Pll).
Which line of code fills in the above blank to successfully complete the task?

解説: (JPNTest メンバーにのみ表示されます)
In which of the following scenarios should a data engineer use the MERGE INTO command instead of the INSERT INTO command?

解説: (JPNTest メンバーにのみ表示されます)

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