Free PDF Quiz Databricks-Certified-Data-Engineer-Associate - Valid Databricks Certified Data Engineer Associate Exam Real Braindumps

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Databricks Certified Data Engineer Associate Exam is a valuable certification for individuals who are looking to demonstrate their proficiency in data engineering using Databricks. Databricks Certified Data Engineer Associate Exam certification is recognized globally and is a testament to an individual's skills and knowledge in the field of data engineering. Databricks Certified Data Engineer Associate Exam certification can open up new career opportunities, increase earning potential, and enhance an individual's credibility as a data engineer.
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Databricks Certified Data Engineer Associate Exam Sample Questions (Q245-Q250):
NEW QUESTION # 245
What is the functionality of AutoLoader in Databricks?
- A. Auto Loader automatically ingests and processes new files from cloud storage, handling both batch and streaming data with support for schema evolution.
- B. Auto Loader automatically ingests and processes new files from cloud storage, handling batch and streaming data with no support for schema evolution.
- C. Auto Loader automatically ingests and processes new files from cloud storage, handling only streaming data with no support for schema evolution.
- D. Auto Loader automatically ingests and processes new files from cloud storage, handling batch data with support for schema evolution.
Answer: A
NEW QUESTION # 246
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?
Answer: D
Explanation:
https://www.w3schools.com/python/python_functions.asp
https://www.geeksforgeeks.org/python-functions/
NEW QUESTION # 247
Which of the following describes the relationship between Bronze tables and raw data?
- A. Bronze tables contain a less refined view of data than raw data.
- B. Bronze tables contain less data than raw data files.
- C. Bronze tables contain aggregates while raw data is unaggregated.
- D. Bronze tables contain more truthful data than raw data.
- E. Bronze tables contain raw data with a schema applied.
Answer: E
Explanation:
Bronze tables are the first layer of a medallion architecture, which is a data design pattern used to organize data in a lakehouse. Bronze tables contain raw data ingested from various sources, such as RDBMS data, JSON files, IoT data, etc. The table structures in this layer correspond to the source system table structures "as-is", along with any additional metadata columns that capture the load date/time, process ID, etc. The only transformation applied to the raw data in this layer is to apply a schema, which defines the column names and data types of the table. The schema can be inferred from the data source or specified explicitly. Applying a schema to the raw data enables the use of SQL and other structured query languages to access and analyze the data. Therefore, option E is the correct answer. Reference: What is a Medallion Architecture?, Raw Data Ingestion into Delta Lake Bronze tables using Azure Synapse Mapping Data Flow, Apache Spark + Delta Lake concepts, Delta Lake Architecture & Azure Databricks Workspace.
NEW QUESTION # 248
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 & review_period: = "True":
- B. if day_of_week == 1 and review_period == "True":
- C. if day_of_week = 1 and review_period:
- D. if day_of_week = 1 and review_period = "True":
- E. if day_of_week == 1 and review_period:
Answer: E
Explanation:
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]
NEW QUESTION # 249
A data engineer has been provided a PySpark DataFrame named df with columns product and revenue. The data engineer needs to compute complex aggregations to determine each product ' s total revenue, average revenue, and transaction count.
Which code snippet should the data engineer use?
Answer: D
NEW QUESTION # 250
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