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GAQM Databricks-Certified-Data-Engineer-Associate certification is an essential credential for individuals and organizations working with big data using Databricks. It validates the candidate's skills and knowledge of data engineering concepts and their ability to design and implement data pipelines using Databricks. Databricks Certified Data Engineer Associate Exam certification is globally recognized and highly respected in the industry, making it a valuable asset for anyone looking to advance their career in the field of data engineering.
Preparing for the Databricks-Certified-Data-Engineer-Associate exam requires a deep understanding of Databricks and its various components. Candidates should have experience with Spark SQL, Spark Streaming, and Spark MLlib, as well as a solid understanding of data modeling, data structures, and algorithms. They should also be familiar with common data storage and processing technologies, such as Hadoop, Kafka, and AWS S3.
NEW QUESTION # 26
Which of the following describes the relationship between Gold tables and Silver tables?
- A. Gold tables are more likely to contain a less refined view of data than Silver tables.
- B. Gold tables are more likely to contain truthful data than Silver tables.
- C. Gold tables are more likely to contain aggregations than Silver tables.
- D. Gold tables are more likely to contain valuable data than Silver tables.
- E. Gold tables are more likely to contain more data than Silver tables.
Answer: A
NEW QUESTION # 27
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 more truthful data than raw data.
- C. Bronze tables contain raw data with a schema applied.
- D. Bronze tables contain aggregates while raw data is unaggregated.
- E. Bronze tables contain less data than raw data files.
Answer: D
NEW QUESTION # 28
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
INTERSECT SELECT * from april_transactions; - B. CREATE TABLE all_transactions AS
SELECT * FROM march_transactions
MERGE SELECT * FROM april_transactions; - C. CREATE TABLE all_transactions AS
SELECT * FROM march_transactions
OUTER JOIN SELECT * FROM april_transactions; - D. CREATE TABLE all_transactions AS
SELECT * FROM march_transactions
INNER JOIN SELECT * FROM april_transactions; - E. CREATE TABLE all_transactions AS
SELECT * FROM march_transactions
UNION SELECT * FROM april_transactions;
Answer: E
NEW QUESTION # 29
Which of the following describes when to use the CREATE STREAMING LIVE TABLE (formerly CREATE INCREMENTAL LIVE TABLE) syntax over the CREATE LIVE TABLE syntax when creating Delta Live Tables (DLT) tables using SQL?
- A. CREATE STREAMING LIVE TABLE is redundant for DLT and it does not need to be used.
- B. CREATE STREAMING LIVE TABLE should be used when the previous step in the DLT pipeline is static.
- C. CREATE STREAMING LIVE TABLE should be used when data needs to be processed incrementally.
- D. CREATE STREAMING LIVE TABLE should be used when data needs to be processed through complicated aggregations.
- E. CREATE STREAMING LIVE TABLE should be used when the subsequent step in the DLT pipeline is static.
Answer: C
NEW QUESTION # 30
A data engineer runs a statement every day to copy the previous day's sales into the table transactions. Each day's sales are in their own file in the location "/transactions/raw".
Today, the data engineer runs the following command to complete this task:
After running the command today, the data engineer notices that the number of records in table transactions has not changed.
Which of the following describes why the statement might not have copied any new records into the table?
- A. The previous day's file has already been copied into the table.
- B. The COPY INTO statement requires the table to be refreshed to view the copied rows.
- C. The names of the files to be copied were not included with the FILES keyword.
- D. The format of the files to be copied were not included with the FORMAT_OPTIONS keyword.
- E. The PARQUET file format does not support COPY INTO.
Answer: A
NEW QUESTION # 31
Which of the following is hosted completely in the control plane of the classic Databricks architecture?
- A. Databricks Filesystem
- B. JDBC data source
- C. Worker node
- D. Databricks web application
- E. Driver node
Answer: E
NEW QUESTION # 32
Which of the following tools is used by Auto Loader process data incrementally?
- A. Data Explorer
- B. Databricks SQL
- C. Checkpointing
- D. Spark Structured Streaming
- E. Unity Catalog
Answer: D
NEW QUESTION # 33
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?
- A. Data Explorer
- B. Delta Lake
- C. Auto Loader
- D. Unity Catalog
- E. Delta Live Tables
Answer: B
NEW QUESTION # 34
Which of the following code blocks will remove the rows where the value in column age is greater than 25 from the existing Delta table my_table and save the updated table?
- A. DELETE FROM my_table WHERE age > 25;
- B. DELETE FROM my_table WHERE age <= 25;
- C. SELECT * FROM my_table WHERE age > 25;
- D. UPDATE my_table WHERE age <= 25;
- E. UPDATE my_table WHERE age > 25;
Answer: A
NEW QUESTION # 35
A data engineer has realized that they made a mistake when making a daily update to a table. They need to use Delta time travel to restore the table to a version that is 3 days old. However, when the data engineer attempts to time travel to the older version, they are unable to restore the data because the data files have been deleted.
Which of the following explains why the data files are no longer present?
- A. The OPTIMIZE command was nun on the table
- B. The DELETE HISTORY command was run on the table
- C. The HISTORY command was run on the table
- D. The TIME TRAVEL command was run on the table
- E. The VACUUM command was run on the table
Answer: B
NEW QUESTION # 36
A new data engineering team has been assigned to work on a project. The team will need access to database customers in order to see what tables already exist. The team has its own group team.
Which of the following commands can be used to grant the necessary permission on the entire database to the new team?
- A. GRANT CREATE ON DATABASE team TO customers;
- B. GRANT VIEW ON CATALOG customers TO team;
- C. GRANT USAGE ON DATABASE customers TO team;
- D. GRANT USAGE ON CATALOG team TO customers;
- E. GRANT CREATE ON DATABASE customers TO team;
Answer: C
NEW QUESTION # 37
Which of the following describes a scenario in which a data team will want to utilize cluster pools?
- A. An automated report needs to be refreshed as quickly as possible.
- B. An automated report needs to be made reproducible.
- C. An automated report needs to be runnable by all stakeholders.
- D. An automated report needs to be version-controlled across multiple collaborators.
- E. An automated report needs to be tested to identify errors.
Answer: C
NEW QUESTION # 38
A data engineer has configured a Structured Streaming job to read from a table, manipulate the data, and then perform a streaming write into a new table.
The cade block used by the data engineer is below:
If the data engineer only wants the query to execute a micro-batch to process data every 5 seconds, which of the following lines of code should the data engineer use to fill in the blank?
- A. trigger(once="5 seconds")
- B. trigger(processingTime="5 seconds")
- C. trigger(continuous="5 seconds")
- D. trigger("5 seconds")
- E. trigger()
Answer: B
NEW QUESTION # 39
A data engineer has three tables in a Delta Live Tables (DLT) pipeline. They have configured the pipeline to drop invalid records at each table. They notice that some data is being dropped due to quality concerns at some point in the DLT pipeline. They would like to determine at which table in their pipeline the data is being dropped.
Which of the following approaches can the data engineer take to identify the table that is dropping the records?
- A. They cannot determine which table is dropping the records.
- B. They can navigate to the DLT pipeline page, click on the "Error" button, and review the present errors.
- C. They can set up separate expectations for each table when developing their DLT pipeline.
- D. They can set up DLT to notify them via email when records are dropped.
- E. They can navigate to the DLT pipeline page, click on each table, and view the data quality statistics.
Answer: B
NEW QUESTION # 40
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?
- A. They can increase the cluster size of the SQL endpoint.
- B. They can turn on the Serverless feature for the SQL endpoint and change the Spot Instance Policy to
"Reliability Optimized." - C. They can turn on the Auto Stop feature for the SQL endpoint.
- D. They can turn on the Serverless feature for the SQL endpoint.
- E. They can increase the maximum bound of the SQL endpoint's scaling range.
Answer: E
NEW QUESTION # 41
Which of the following benefits is provided by the array functions from Spark SQL?
- A. An ability to work with complex, nested data ingested from JSON files
- B. An ability to work with data in a variety of types at once
- C. An ability to work with an array of tables for procedural automation
- D. An ability to work with time-related data in specified intervals
- E. An ability to work with data within certain partitions and windows
Answer: E
NEW QUESTION # 42
A data engineer needs to determine whether to use the built-in Databricks Notebooks versioning or version their project using Databricks Repos.
Which of the following is an advantage of using Databricks Repos over the Databricks Notebooks versioning?
- A. Databricks Repos allows users to revert to previous versions of a notebook
- B. Databricks Repos supports the use of multiple branches
- C. Databricks Repos is wholly housed within the Databricks Lakehouse Platform
- D. Databricks Repos provides the ability to comment on specific changes
- E. Databricks Repos automatically saves development progress
Answer: B
NEW QUESTION # 43
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?
- A. They could redesign the data model to separate the data used in the final query into a new table.
- B. They could wrap the queries using PySpark and use Python's control flow system to determine when to run the final query.
- C. They could submit a feature request with Databricks to add this functionality.
- D. They could only run the entire program on Sundays.
- E. They could automatically restrict access to the source table in the final query so that it is only accessible on Sundays.
Answer: B
NEW QUESTION # 44
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The Databricks Certified Data Engineer Associate exam consists of 60 multiple-choice questions that must be completed within 90 minutes. Candidates are required to score at least 70% to pass the exam. Databricks-Certified-Data-Engineer-Associate exam is administered online through the GAQM testing platform, which allows candidates to take the exam from anywhere in the world.
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