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| Section | Weight | Objectives |
|---|---|---|
| Lakehouse Platform Concepts | 10-15% | - Describe key Databricks Lakehouse platform components - Explain data governance and security concepts - Understand the Lakehouse architecture and its benefits |
| Data Pipeline Architecture | 15-20% | - Monitor and optimize pipeline performance - Implement incremental data processing - Design data pipelines for batch and streaming - Understand ELT vs ETL patterns |
| Spark SQL and DataFrames | 15-20% | - Join and union DataFrames - Aggregate and group data - Handle null values and data quality - Write and execute Spark SQL queries |
| Delta Lake Fundamentals | 20-25% | - Create and manage Delta tables - Explain Delta Lake features and benefits - Write to and read from Delta tables - Understand ACID transactions and time travel |
| Apache Spark Data Processing Fundamentals | 20-25% | - Use Spark SQL for data processing - Work with structured data types (arrays, maps, structs) - Apply transformations and actions on DataFrames - Create and use Spark DataFrames |
| Python for Data Engineering | 10-15% | - Use PySpark for data processing - Implement user-defined functions (UDFs) - Work with Spark APIs in Python |
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NEW QUESTION # 250
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?
Answer: D
NEW QUESTION # 251
A data engineer needs to audit who made changes to a Delta table during the last seven days.
Which SQL statement returns the record of past operations, including timestamps, users, and operation types?
Answer: B
Explanation:
DESCRIBE HISTORY my_table returns the Delta table's operation history. Its result includes information such as the table version, operation timestamp, user identity when available, operation name, parameters, notebook or job details, and associated metrics. The engineer can filter the returned timestamps to analyze operations performed during the last seven days. SHOW TBLPROPERTIES displays configured table properties rather than transactional history. DESCRIBE DETAIL returns the current table metadata and storage characteristics, not a chronological audit of changes. Directly querying the _delta_log path is unnecessary, depends on file-level implementation details, and the displayed path is not the supported SQL statement for this audit requirement. Therefore, option C provides the supported and structured record of past Delta table operations.
NEW QUESTION # 252
Which of the following commands can be used to write data into a Delta table while avoiding the writing of duplicate records?
Answer: D
Explanation:
The MERGE command can be used to upsert data from a source table, view, or DataFrame into a target Delta table. It allows you to specify conditions for matching and updating existing records, and inserting new records when no match is found. This way, you can avoid writing duplicate records into a Delta table1. The other commands (DROP, IGNORE, APPEND, INSERT) do not have this functionality and may result in duplicate records or data loss234. References: 1: Upsert into a Delta Lake table using merge | Databricks on AWS 2: SQL DELETE | Databricks on AWS 3: SQL INSERT INTO | Databricks on AWS 4: SQL UPDATE | Databricks on AWS
NEW QUESTION # 253
A data engineer has been using a Databricks SQL dashboard to monitor the cleanliness of the input data to an ELT job. The ELT job has its Databricks SQL query that returns the number of input records containing unexpected NULL values. The data engineer wants their entire team to be notified via a messaging webhook whenever this value reaches 100.
Which of the following approaches can the data engineer use to notify their entire team via a messaging webhook whenever the number of NULL values reaches 100?
Answer: C
Explanation:
Explanation
To achieve this, the data engineer can set up an Alert in the Databricks workspace that triggers when the query results exceed the threshold of 100 NULL values. They can create a new webhook alert destination in the Alert's configuration settings and provide the necessary messaging webhook URL to receive notifications.
When the Alert is triggered, it will send a message to the configured webhook URL, which will then notify the entire team of the issue.
NEW QUESTION # 254
A data engineer is working with two tables. Each of these tables is displayed below in its entirety.
The data engineer runs the following query to join these tables together:
Which of the following will be returned by the above query?
Answer: D
NEW QUESTION # 255
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