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최신 Databricks Certification Databricks-Certified-Data-Engineer-Associate 무료샘플문제 (Q76-Q81):

질문 # 76
Which of the following tools is used by Auto Loader process data incrementally?

• A. Databricks SQL
• B. Checkpointing
• C. Data Explorer
• D. Unity Catalog
• E. Spark Structured Streaming

정답：E

질문 # 77
A data engineering team has two tables. The first table march_transactions is a collection of all retail transactions in the month of March. The second table april_transactions is a collection of all retail transactions in the month of April. There are no duplicate records between the tables.
Which of the following commands should be run to create a new table all_transactions that contains all records from march_transactions and april_transactions without duplicate records?

• A. CREATE TABLE all_transactions AS
  SELECT * FROM march_transactions
  UNION SELECT * FROM april_transactions;
• B. CREATE TABLE all_transactions AS
  SELECT * FROM march_transactions
  INNER JOIN SELECT * FROM april_transactions;
• C. CREATE TABLE all_transactions AS
  SELECT * FROM march_transactions
  MERGE SELECT * FROM april_transactions;
• D. CREATE TABLE all_transactions AS
  SELECT * FROM march_transactions
  INTERSECT SELECT * from april_transactions;
• E. CREATE TABLE all_transactions AS
  SELECT * FROM march_transactions
  OUTER JOIN SELECT * FROM april_transactions;

정답：A

설명：
The correct command to create a new table that contains all records from two tables without duplicate records is to use the UNION operator. The UNION operator combines the results of two queries and removes any duplicate rows. The INNER JOIN, OUTER JOIN, and MERGE operators do not remove duplicate rows, and the INTERSECT operator only returns the rows that are common to both tables. Therefore, option B is the only correct answer. Reference: Databricks SQL Reference - UNION, Databricks SQL Reference - JOIN, Databricks SQL Reference - MERGE, [Databricks SQL Reference - INTERSECT]

질문 # 78
A data engineering team has noticed that their Databricks SQL queries are running too slowly when they are submitted to a non-running SQL endpoint. The data engineering team wants this issue to be resolved.
Which of the following approaches can the team use to reduce the time it takes to return results in this scenario?

• A. They can turn on the Serverless feature for the SQL endpoint and change the Spot Instance Policy to
  "Reliability Optimized."
• B. They can turn on the Auto Stop feature for the SQL endpoint.
• C. They can increase the maximum bound of the SQL endpoint's scaling range
• D. They can turn on the Serverless feature for the SQL endpoint.
• E. They can increase the cluster size of the SQL endpoint.

정답：D

설명：
Option D is the correct answer because it enables the Serverless feature for the SQL endpoint, which allows the endpoint to automatically scale up and down based on the query load. This way, the endpoint can handle more concurrent queries and reduce the time it takes to return results. The Serverless feature also reduces the cold start time of the endpoint, which is the time it takes to start the cluster when a query is submitted to a non-running endpoint. The Serverless feature is available for both AWS and Azure Databricks platforms.
References: Databricks SQL Serverless, Serverless SQL endpoints, New Performance Improvements in Databricks SQL

질문 # 79
A data engineer only wants to execute the final block of a Python program if the Python variable day_of_week is equal to 1 and the Python variable review_period is True.
Which of the following control flow statements should the data engineer use to begin this conditionally executed code block?

• A. if day_of_week = 1 and review_period:
• B. if day_of_week = 1 & review_period: = "True":
• C. if day_of_week = 1 and review_period = "True":
• D. if day_of_week == 1 and review_period:
• E. if day_of_week == 1 and review_period == "True":

정답：D

설명：
In Python, the == operator is used to compare the values of two variables, while the = operator is used to assign a value to a variable. Therefore, option A and E are incorrect, as they use the = operator for comparison.
Option B and C are also incorrect, as they compare the review_period variable to a string value "True", which is different from the boolean value True. Option D is the correct answer, as it uses the == operator to compare the day_of_week variable to the integer value 1, and the and operator to check if both conditions are true. If both conditions are true, then the final block of the Python program will be executed. References: [Python Operators], [Python If ... Else]

질문 # 80
A data engineer has a Job with multiple tasks that runs nightly. Each of the tasks runs slowly because the clusters take a long time to start.
Which of the following actions can the data engineer perform to improve the start up time for the clusters used for the Job?

• A. They can use clusters that are from a cluster pool
• B. They can use jobs clusters instead of all-purpose clusters
• C. They can configure the clusters to be single-node
• D. They can configure the clusters to autoscale for larger data sizes
• E. They can use endpoints available in Databricks SQL

정답：B

질문 # 81
......

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