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Databricks Certified Data Engineer Professional Sample Questions:
1. Which statement describes the correct use of pyspark.sql.functions.broadcast?
A) It marks a DataFrame as small enough to store in memory on all executors, allowing a broadcast join.
B) It marks a column as small enough to store in memory on all executors, allowing a broadcast join.
C) It marks a column as having low enough cardinality to properly map distinct values to available partitions, allowing a broadcast join.
D) It caches a copy of the indicated table on attached storage volumes for all active clusters within a Databricks workspace.
E) It caches a copy of the indicated table on all nodes in the cluster for use in all future queries during the cluster lifetime.Get Latest & Actual Certified-Data-Engineer-Professional Exam's Question and Answers from
2. A nightly batch job is configured to ingest all data files from a cloud object storage container where records are stored in a nested directory structure YYYY/MM/DD. The data for each date represents all records that were processed by the source system on that date, noting that some records may be delayed as they await moderator approval. Each entry represents a user review of a product and has the following schema:
user_id STRING, review_id BIGINT, product_id BIGINT, review_timestamp TIMESTAMP, review_text STRING The ingestion job is configured to append all data for the previous date to a target table reviews_raw with an identical schema to the source system. The next step in the pipeline is a batch write to propagate all new records inserted into reviews_raw to a table where data is fully deduplicated, validated, and enriched.
Which solution minimizes the compute costs to propagate this batch of data?
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A) Configure a Structured Streaming read against the reviews_raw table using the trigger once execution mode to process new records as a batch job.
B) Filter all records in the reviews_raw table based on the review_timestamp; batch append those records produced in the last 48 hours.
C) Use Delta Lake version history to get the difference between the latest version of reviews_raw and one version prior, then write these records to the next table.
D) Reprocess all records in reviews_raw and overwrite the next table in the pipeline.
E) Perform a batch read on the reviews_raw table and perform an insert-only merge using the natural composite key user_id, review_id, product_id, review_timestamp.
3. The marketing team is looking to share data in an aggregate table with the sales organization, but the field names used by the teams do not match, and a number of marketing specific fields have not been approval for the sales org.
Which of the following solutions addresses the situation while emphasizing simplicity?
A) Use a CTAS statement to create a derivative table from the marketing table configure a production jon to propagation changes.
B) Instruct the marketing team to download results as a CSV and email them to the sales organization.
C) Create a view on the marketing table selecting only these fields approved for the sales team alias the names of any fields that should be standardized to the sales naming conventions.
D) Create a new table with the required schema and use Delta Lake's DEEP CLONE functionality to sync up changes committed to one table to the corresponding table.
E) Add a parallel table write to the current production pipeline, updating a new sales table that varies Get Latest & Actual Certified-Data-Engineer-Professional Exam's Question and Answers from as required from marketing table.
4. Which statement describes Delta Lake optimized writes?
A) A shuffle occurs prior to writing to try to group data together resulting in fewer files instead of each executor writing multiple files based on directory partitions.
B) Before a job cluster terminates, OPTIMIZE is executed on all tables modified during the most recent job.
C) Optimized writes logical partitions instead of directory partitions partition boundaries are only Get Latest & Actual Certified-Data-Engineer-Professional Exam's Question and Answers from represented in metadata fewer small files are written.
D) An asynchronous job runs after the write completes to detect if files could be further compacted; yes, an OPTIMIZE job is executed toward a default of 1 GB.
5. The following table consists of items found in user carts within an e-commerce website.
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The following MERGE statement is used to update this table using an updates view, with schema evaluation enabled on this table.
How would the following update be handled?
A) The update is moved to separate ''restored'' column because it is missing a column expected in the target schema.
B) The update throws an error because changes to existing columns in the target schema are not supported.
C) The new restored field is added to the target schema, and dynamically read as NULL for existing unmatched records.
D) The new nested field is added to the target schema, and files underlying existing records are updated to include NULL values for the new field.
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: A | Question # 3 Answer: C | Question # 4 Answer: A | Question # 5 Answer: D |
