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Databricks Databricks-Certified-Data-Engineer-Professional 考試大綱主題:

最新的 Databricks Certification Databricks-Certified-Data-Engineer-Professional 免費考試真題：

1. A data engineer wants to join a stream of advertisement impressions (when an ad was shown) with another stream of user clicks on advertisements to correlate when impressions led to monetizable clicks.
In the code below, Impressions is a streaming DataFrame with a watermark ("event_time", "10 minutes")

The data engineer notices the query slowing down significantly.
Which solution would improve the performance?

A) Joining on event time constraint: clickTime >= impressionTime - interval 3 hours and removing watermarks
B) Joining on event time constraint: clickTime + 3 hours < impressionTime - 2 hours
C) Joining on event time constraint: clickTime == impressionTime using a leftOuter join
D) Joining on event time constraint: clickTime >= impressionTime AND clickTime <= impressionTime interval 1 hour

2. A data engineer needs to provide access to a group named manufacturing-team. The team needs privileges to create tables in the quality schema. Which set of SQL commands will grant a group named manufacturing-team to create tables in a schema named production with the parent catalog named manufacturing with the least privileges?

A) GRANT CREATE TABLE ON SCHEMA manufacturing.quality TO manufacturing-team; GRANT CREATE SCHEMA ON SCHEMA manufacturing.quality TO manufacturing-team; GRANT CREATE CATALOG ON CATALOG manufacturing TO manufacturing-team;
B) GRANT CREATE TABLE ON SCHEMA manufacturing.quality TO manufacturing-team; GRANT CREATE SCHEMA ON SCHEMA manufacturing.quality TO manufacturing-team; GRANT USE CATALOG ON CATALOG manufacturing TO manufacturing-team;
C) GRANT CREATE TABLE ON SCHEMA manufacturing.quality TO manufacturing-team; GRANT USE SCHEMA ON SCHEMA manufacturing.quality TO manufacturing-team; GRANT USE CATALOG ON CATALOG manufacturing TO manufacturing-team;
D) GRANT USE TABLE ON SCHEMA manufacturing.quality TO manufacturing-team; GRANT USE SCHEMA ON SCHEMA manufacturing.quality TO manufacturing-team; GRANT USE CATALOG ON CATALOG manufacturing TO manufacturing-team;

3. Which statement describes the correct use of pyspark.sql.functions.broadcast?

A) It marks a column as small enough to store in memory on all executors, allowing a broadcast join.
B) It caches a copy of the indicated table on attached storage volumes for all active clusters within a Databricks workspace.
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 all nodes in the cluster for use in all future queries during the cluster lifetime.
E) It marks a DataFrame as small enough to store in memory on all executors, allowing a broadcast join.

4. A task orchestrator has been configured to run two hourly tasks. First, an outside system writes Parquet data to a directory mounted at /mnt/raw_orders/. After this data is written, a Databricks job containing the following code is executed:

Assume that the fields customer_id and order_id serve as a composite key to uniquely identify each order, and that the time field indicates when the record was queued in the source system.
If the upstream system is known to occasionally enqueue duplicate entries for a single order hours apart, which statement is correct?

A) All records will be held in the state store for 2 hours before being deduplicated and committed to the orders table.
B) Duplicate records enqueued more than 2 hours apart may be retained and the orders table may contain duplicate records with the same customer_id and order_id.
C) Duplicate records arriving more than 2 hours apart will be dropped, but duplicates that arrive in the same batch may both be written to the orders table.
D) The orders table will not contain duplicates, but records arriving more than 2 hours late will be ignored and missing from the table.
E) The orders table will contain only the most recent 2 hours of records and no duplicates will be present.

5. Which distribution does Databricks support for installing custom Python code packages?

A) CRAN
B) sbt
C) CRAM
D) nom
E) Wheels
F) jars

問題與答案：