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Databricks Databricks-Certified-Data-Engineer-Associate Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Data Pipeline Architecture15-20%- Implement incremental data processing
- Understand ELT vs ETL patterns
- Monitor and optimize pipeline performance
- Design data pipelines for batch and streaming
Topic 2: Python for Data Engineering10-15%- Implement user-defined functions (UDFs)
- Work with Spark APIs in Python
- Use PySpark for data processing
Topic 3: Apache Spark Data Processing Fundamentals20-25%- Work with structured data types (arrays, maps, structs)
- Use Spark SQL for data processing
- Create and use Spark DataFrames
- Apply transformations and actions on DataFrames
Topic 4: Lakehouse Platform Concepts10-15%- Understand the Lakehouse architecture and its benefits
- Describe key Databricks Lakehouse platform components
- Explain data governance and security concepts
Topic 5: Spark SQL and DataFrames15-20%- Join and union DataFrames
- Handle null values and data quality
- Write and execute Spark SQL queries
- Aggregate and group data
Topic 6: Delta Lake Fundamentals20-25%- Create and manage Delta tables
- Explain Delta Lake features and benefits
- Understand ACID transactions and time travel
- Write to and read from Delta tables

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Databricks Certified Data Engineer Associate Exam Sample Questions (Q70-Q75):

NEW QUESTION # 70
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?

Answer: B

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. Reference: [Python Operators], [Python If ... Else]


NEW QUESTION # 71
Which of the following Structured Streaming queries is performing a hop from a Silver table to a Gold table?

Answer: A

Explanation:
The best practice is to use "Complete" as output mode instead of "append" when working with aggregated tables. Since gold layer is work final aggregated tables, the only option with output mode as complete is option E.


NEW QUESTION # 72
A data engineer has created a new database using the following command:
CREATE DATABASE IF NOT EXISTS customer360;
In which of the following locations will the customer360 database be located?

Answer: B

Explanation:
dbfs:/user/hive/warehouse Thereby showing "dbfs:/user/hive/warehouse/customer360.db The location of the customer360 database depends on the value of the spark.sql.warehouse.dir configuration property, which specifies the default location for managed databases and tables. If the property is not set, the default value is dbfs:/user/hive/warehouse. Therefore, the customer360 database will be located in dbfs:/user/hive/warehouse/customer360.db. However, if the property is set to a different value, such as dbfs:/user/hive/database, then the customer360 database will be located in dbfs:/user/hive/database/customer360.db. Thus, more information is needed to determine the correct response.
Option A is not correct, as dbfs:/user/hive/database/customer360 is not the default location for managed databases and tables, unless the spark.sql.warehouse.dir property is explicitly set to dbfs:/user/hive/database.
Option B is not correct, as dbfs:/user/hive/warehouse is the default location for the root directory of managed databases and tables, not for a specific database. The database name should be appended with .db to the directory path, such as dbfs:/user/hive/warehouse/customer360.db.
Option C is not correct, as dbfs:/user/hive/customer360 is not a valid location for a managed database, as it does not follow the directory structure specified by the spark.sql.warehouse.dir property.
Reference:
Databases and Tables
[Databricks Data Engineer Professional Exam Guide]


NEW QUESTION # 73
A data engineering team is using Kafka to capture event data and then ingest it into Databricks.
The team wants to be able to see these historical events. Medallion architecture is already in place. The team wants to be mindful of costs. Where should this historical event data be stored?

Answer: B

Explanation:
In the Medallion architecture, the Bronze layer stores raw ingested data, including historical event data from Kafka. This approach preserves the full history at lower cost while allowing further refinement into Silver and Gold layers.


NEW QUESTION # 74
A data engineer configures a Databricks Lakeflow Job for daily customer data processing:
- Entry task: Single notebook loads raw data
- Parallel tasks:
- SQL query task for cleansing
- Notebook task for feature engineering
- Pipeline task for model updates
- Exit task: Dashboard refresh (must run after all parallel tasks
complete)
- Requirement: Implement this dependency pattern using a DAG-based task graph Which task configuration ensures all parallel tasks complete before the dashboard refresh task runs?

Answer: D

Explanation:
A fan-in dependency makes the dashboard refresh task depend on all three parallel tasks.
Databricks runs the parallel tasks after the entry task, and the dashboard refresh starts only after every upstream dependency completes.


NEW QUESTION # 75
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