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| Section | Objectives |
|---|---|
| Databricks Lakehouse Platform Architecture | - Workspace and cluster architecture - Medallion architecture (Bronze, Silver, Gold) - Data governance concepts (Unity Catalog basics) |
| Production Pipelines and Orchestration | - Databricks Workflows - Job scheduling and monitoring - Error handling and recovery strategies |
| Data Modeling and Transformation | - Spark SQL transformations - Performance optimization techniques - Dimensional modeling concepts |
| Delta Lake and Data Management | - Delta Lake transactions and ACID properties - Schema evolution and enforcement - Time travel and versioning |
| Data Ingestion and Processing | - Batch and streaming ingestion with Auto Loader - ETL pipeline design patterns - Structured Streaming fundamentals |
A query is taking too long to run. After investigating the Spark UI, the data engineer discovered a significant amount of disk spill. The compute instance being used has a core-to-memory ratio of
1:2. What are the two steps the data engineer should take to minimize spillage? (Choose two.)
Correct Answer: A,B 🗳️
Explanation: Only visible for FreeDumps members. You can sign-up / login (it's free).
A Delta Lake table representing metadata about content from user has the following schema:
user_id LONG, post_text STRING, post_id STRING, longitude FLOAT, latitude FLOAT, post_time TIMESTAMP, date DATE Based on the above schema, which column is a good candidate for partitioning the Delta Table?
Correct Answer: A 🗳️
Explanation: Only visible for FreeDumps members. You can sign-up / login (it's free).
A table is registered with the following code:
Both users and orders are Delta Lake tables. Which statement describes the results of querying recent_orders?
Correct Answer: D 🗳️
Explanation: Only visible for FreeDumps members. You can sign-up / login (it's free).
A Data Engineer is building a simple data pipeline using Lakeflow Declarative Pipelines (LDP) in Databricks to ingest customer data. The raw customer data is stored in a cloud storage location in JSON format. The task is to create Lakeflow Declarative Pipelines that read the raw JSON data and write it into a Delta table for further processing. Which code snippet will correctly ingest the raw JSON data and create a Delta table using LDP?
Correct Answer: A 🗳️
Explanation: Only visible for FreeDumps members. You can sign-up / login (it's free).
A data engineer is designing a pipeline in Databricks that processes records from a Kafka stream where late-arriving data is common. Which approach should the data engineer use?
Correct Answer: B 🗳️
Explanation: Only visible for FreeDumps members. You can sign-up / login (it's free).
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