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The GAQM Databricks-Certified-Data-Engineer-Associate (Databricks Certified Data Engineer Associate) exam is a certification program designed for individuals who wish to demonstrate their expertise in designing and implementing big data solutions using Databricks. This exam is intended for data engineers, data analysts, and big data architects who want to validate their skills in building and managing large-scale data processing systems using Databricks.
The GAQM Databricks-Certified-Data-Engineer-Associate exam is a highly respected certification that validates a candidate's expertise in using Databricks to build and maintain data pipelines. It is an excellent way for data engineers to demonstrate their skills and knowledge in this critical area of data management. By earning this certification, data engineers can enhance their careers and help their organizations to unlock the full potential of their data.
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The GAQM Databricks-Certified-Data-Engineer-Associate exam is a certification that validates a candidate's proficiency in using Databricks to build and maintain data pipelines. Databricks is a cloud-based data platform that allows users to easily process large amounts of data using Apache Spark. This certification is designed for data engineers who want to demonstrate their expertise in building scalable, reliable, and performant data pipelines.
GAQM Databricks Certified Data Engineer Associate Exam Sample Questions (Q44-Q49):
NEW QUESTION # 44
A new data engineering team team. has been assigned to an ELT project. The new data engineering team will need full privileges on the database customers to fully manage the project.
Which of the following commands can be used to grant full permissions on the database to the new data engineering team?
- A. GRANT USAGE ON DATABASE customers TO team;
- B. GRANT SELECT PRIVILEGES ON DATABASE customers TO teams;
- C. GRANT SELECT CREATE MODIFY USAGE PRIVILEGES ON DATABASE customers TO team;
- D. GRANT ALL PRIVILEGES ON DATABASE team TO customers;
- E. GRANT ALL PRIVILEGES ON DATABASE customers TO team;
Answer: E
NEW QUESTION # 45
A dataset has been defined using Delta Live Tables and includes an expectations clause:
CONSTRAINT valid_timestamp EXPECT (timestamp > '2020-01-01') ON VIOLATION DROP ROW What is the expected behavior 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 added to the target dataset and recorded as invalid in the event log.
- C. Records that violate the expectation are added to the target dataset and flagged as invalid in a field added to the target dataset.
- D. Records that violate the expectation are dropped from the target dataset and loaded into a quarantine table.
- E. Records that violate the expectation are dropped from the target dataset and recorded as invalid in the event log.
Answer: B
NEW QUESTION # 46
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 runnable by all stakeholders.
- B. An automated report needs to be refreshed as quickly as possible.
- C. An automated report needs to be version-controlled across multiple collaborators.
- D. An automated report needs to be made reproducible.
- E. An automated report needs to be tested to identify errors.
Answer: A
NEW QUESTION # 47
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. Unity Catalog
- B. Data Explorer
- C. Databricks SQL
- D. Auto Loader
- E. Delta Lake
Answer: D
NEW QUESTION # 48
Which of the following tools is used by Auto Loader process data incrementally?
- A. Unity Catalog
- B. Data Explorer
- C. Checkpointing
- D. Databricks SQL
- E. Spark Structured Streaming
Answer: E
NEW QUESTION # 49
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