Pass Guaranteed Professional Databricks-Certified-Data-Engineer-Associate - Databricks Certified Data Engineer Associate Exam Test Study Guide

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The GAQM Databricks-Certified-Data-Engineer-Associate (Databricks Certified Data Engineer Associate) Exam is a certification exam that is designed for people who are interested in mastering the skills required for data engineering using the Databricks platform. Databricks Certified Data Engineer Associate Exam certification is globally recognized and is highly valued by employers since it proves that the certified individual has the knowledge and skills required to work with Databricks.

Databricks Certified Data Engineer Associate certification is suitable for data engineers, data scientists, and other professionals who work with big data and want to demonstrate their expertise in Databricks. It is also relevant for organizations that use Databricks to process and analyze large amounts of data, as it ensures that their employees have the necessary skills and knowledge to work with the platform effectively.

Databricks Certified Data Engineer Associate Exam covers a range of topics related to data engineering, including data ingestion, ETL (extract, transform, load) processes, data modeling, and data warehousing. Databricks-Certified-Data-Engineer-Associate exam also covers Databricks-specific tools and technologies, such as Databricks Delta Lake and Databricks Runtime. Passing the exam requires a deep understanding of these topics and the ability to apply that knowledge in real-world scenarios. Successful candidates will have demonstrated their ability to design and implement reliable, scalable, and efficient data pipelines using Databricks.

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Databricks Certified Data Engineer Associate Exam Sample Questions (Q40-Q45):

NEW QUESTION # 40
A data engineer is designing a data pipeline. The source system generates files in a shared directory that is also used by other processes. As a result, the files should be kept as is and will accumulate in the directory. The data engineer needs to identify which files are new since the previous run in the pipeline, and set up the pipeline to only ingest those new files with each run.
Which of the following tools can the data engineer use to solve this problem?

A. Data Explorer
B. Unity Catalog
C. Auto Loader
D. Databricks SQL
E. Delta Lake

Answer: C

Explanation:
Explanation
Auto Loader incrementally and efficiently processes new data files as they arrive in cloud storage without any additional setup.https://docs.databricks.com/en/ingestion/auto-loader/index.html

NEW QUESTION # 41
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 PARQUET file format does not support COPY INTO.
E. The format of the files to be copied were not included with the FORMAT_OPTIONS keyword.

Answer: A

Explanation:
The COPY INTO statement is an idempotent operation, which means that it will skip any files that have already been loaded into the target table1. This ensures that the data is not duplicated or corrupted by multiple attempts to load the same file. Therefore, if the data engineer runs the same command every day without specifying the names of the files to be copied with the FILES keyword or a glob pattern with the PATTERN keyword, the statement will only copy the first file that matches the source location and ignore the rest. To avoid this problem, the data engineer should either use the FILES or PATTERN keywords to filter the files to be copied based on the date or some other criteria, or delete the files from the source location after they are copied into the table2. Reference: 1: COPY INTO | Databricks on AWS 2: Get started using COPY INTO to load data | Databricks on AWS

NEW QUESTION # 42
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 DELETE HISTORY command was run on the table
B. The VACUUM command was run on the table
C. The TIME TRAVEL command was run on the table
D. The OPTIMIZE command was nun on the table
E. The HISTORY command was run on the table

Answer: A

NEW QUESTION # 43
An engineering manager uses a Databricks SQL query to monitor ingestion latency for each data source. The manager checks the results of the query every day, but they are manually rerunning the query each day and waiting for the results.
Which of the following approaches can the manager use to ensure the results of the query are updated each day?

A. They can schedule the query to run every 1 day from the Jobs UI.
B. They can schedule the query to refresh every 12 hours from the SQL endpoint's page in Databricks SQL.
C. They can schedule the query to refresh every 1 day from the query's page in Databricks SQL.
D. They can schedule the query to refresh every 1 day from the SQL endpoint's page in Databricks SQL.
E. They can schedule the query to run every 12 hours from the Jobs UI.

Answer: C

NEW QUESTION # 44
Which of the following commands can be used to write data into a Delta table while avoiding the writing of duplicate records?

A. IGNORE
B. APPEND
C. INSERT
D. DROP
E. MERGE

Answer: E

NEW QUESTION # 45
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