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NEW QUESTION 54
A dataset has been defined using Delta Live Tables and includes an expectations clause:
1. CONSTRAINT valid_timestamp EXPECT (timestamp > '2020-01-01')
What is the expected behaviour when a batch of data containing data that violates these constraints is
processed?

• A. Records that violate the expectation cause the job to fail
• B. Records that violate the expectation are dropped from the target dataset and loaded into a quarantine table
• C. Records that violate the expectation are dropped from the target dataset and recorded as invalid in the event log
• D. Records that violate the expectation are added to the target dataset and recorded as invalid in the event log
• E. Records that violate the expectation are added to the target dataset and flagged as in-valid in a field added to the target dataset

Answer: D

NEW QUESTION 55
A data engineer has ingested data from an external source into a PySpark DataFrame raw_df. They need to
briefly make this data available in SQL for a data analyst to perform a quality assurance check on the data.
Which of the following commands should the data engineer run to make this data available in SQL for only
the remainder of the Spark session?

• A. raw_df.saveAsTable("raw_df")
• B. raw_df.createOrReplaceTempView("raw_df")
• C. There is no way to share data between PySpark and SQL
• D. raw_df.write.save("raw_df")
• E. raw_df.createTable("raw_df")

Answer: B

NEW QUESTION 56
Which method is used to solve for coefficients bO, b1, ... bn in your linear regression model:

• A. Apriori Algorithm
• B. Ordinary Least squares
• C. Ridge and Lasso
• D. Integer programming

Answer: B

Explanation:
Explanation : RY = b0 + b1x1+b2x2+ .... +bnxn
In the linear model, the bi's represent the unknown p parameters. The estimates for these unknown parameters
are chosen so that, on average, the model provides a reasonable estimate of a person's income based on age
and education. In other words, the fitted model should minimize the overall error between the linear model and
the actual observations. Ordinary Least Squares (OLS) is a common technique to estimate the parameters

NEW QUESTION 57
......