Databricks-Certified-Data-Engineer-Professionalの無料問題集（127題）、Databricks-Certified-Data-Engineer-Professional認定試験参考書

Databricks Databricks-Certified-Data-Engineer-Professional 問題集

試験コード：Databricks-Certified-Data-Engineer-Professional

試験名称：Databricks Certified Data Engineer Professional Exam

最近更新時間：2024-11-17

問題と解答：全127問

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無料問題集Databricks-Certified-Data-Engineer-Professional 資格取得

質問 1：
Which of the following technologies can be used to identify key areas of text when parsing Spark Driver log4j output?
A. Julia
B. Regex
C. C++
D. Scala Datasets
E. pyspsark.ml.feature
正解：B
解説: (Topexam メンバーにのみ表示されます)

質問 2：
The view updates represents an incremental batch of all newly ingested data to be inserted or Get Latest & Actual Certified-Data-Engineer-Professional Exam's Question and Answers from updated in the customers table.
The following logic is used to process these records.
MERGE INTO customers
USING (
SELECT updates.customer_id as merge_ey, updates .*
FROM updates
UNION ALL
SELECT NULL as merge_key, updates .*
FROM updates JOIN customers
ON updates.customer_id = customers.customer_id
WHERE customers.current = true AND updates.address <> customers.address ) staged_updates ON customers.customer_id = mergekey WHEN MATCHED AND customers. current = true AND customers.address <> staged_updates.address THEN UPDATE SET current = false, end_date = staged_updates.effective_date WHEN NOT MATCHED THEN INSERT (customer_id, address, current, effective_date, end_date) VALUES (staged_updates.customer_id, staged_updates.address, true, staged_updates.effective_date, null) Which statement describes this implementation?
A. The customers table is implemented as a Type 2 table; old values are overwritten and new customers are appended.
B. The customers table is implemented as a Type 1 table; old values are overwritten by new values and no history is maintained.
C. The customers table is implemented as a Type 0 table; all writes are append only with no changes to existing values.
D. The customers table is implemented as a Type 2 table; old values are maintained but marked as no longer current and new values are inserted.
正解：D
解説: (Topexam メンバーにのみ表示されます)

質問 3：
A Delta Lake table representing metadata about content from user has the following schema:
Based on the above schema, which column is a good candidate for partitioning the Delta Table?
A. Post_id
B. Date
C. latitude
D. User_id
E. Post_time
正解：B
解説: (Topexam メンバーにのみ表示されます)

質問 4：
Which distribution does Databricks support for installing custom Python code packages?
A. nom
B. sbt
C. CRAM
D. jars
E. CRAN
F. Wheels
正解：A
解説: (Topexam メンバーにのみ表示されます)

質問 5：
When scheduling Structured Streaming jobs for production, which configuration automatically recovers from query failures and keeps costs low?
A. Cluster: New Job Cluster;
Retries: Unlimited;
Maximum Concurrent Runs: Unlimited
B. Cluster: Existing All-Purpose Cluster;
Retries: Unlimited;
Maximum Concurrent Runs: 1
C. Cluster: New Job Cluster;
Retries: None;
Maximum Concurrent Runs: 1
D. Cluster: Existing All-Purpose Cluster;
Retries: None;
Maximum Concurrent Runs: 1
E. Cluster: Existing All-Purpose Cluster;
Retries: Unlimited;
Maximum Concurrent Runs: 1
正解：E
解説: (Topexam メンバーにのみ表示されます)

質問 6：
A data engineer wants to reflector the following DLT code, which includes multiple definition with very similar code:

In an attempt to programmatically create these tables using a parameterized table definition, the data engineer writes the following code.

The pipeline runs an update with this refactored code, but generates a different DAG showing incorrect configuration values for tables.
How can the data engineer fix this?
A. Load the configuration values for these tables from a separate file, located at a path provided by a pipeline parameter.
B. Convert the list of configuration values to a dictionary of table settings, using table names as keys.
C. Convert the list of configuration values to a dictionary of table settings, using different input the for loop.
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D. Wrap the loop inside another table definition, using generalized names and properties to replace with those from the inner table
正解：B
解説: (Topexam メンバーにのみ表示されます)

質問 7：
What is the first of a Databricks Python notebook when viewed in a text editor?
A. %python
B. # Databricks notebook source
C. -- Databricks notebook source
D. # MAGIC %python
E. // Databricks notebook source
正解：B
解説: (Topexam メンバーにのみ表示されます)

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Databricks Certified Data Engineer Professional 認定 Databricks-Certified-Data-Engineer-Professional 試験問題:

1. A Delta Lake table representing metadata about content posts from users has the following schema:
user_id LONG, post_text STRING, post_id STRING, longitude FLOAT,
latitude FLOAT, post_time TIMESTAMP, date DATE
This table is partitioned by the date column. A query is run with the following filter:
longitude < 20 & longitude > -20
Which statement describes how data will be filtered?

A) The Delta Engine will scan the parquet file footers to identify each row that meets the filter criteria.
B) Statistics in the Delta Log will be used to identify partitions that might Include files in the filtered range.
C) Statistics in the Delta Log will be used to identify data files that might include records in the filtered range.
D) No file skipping will occur because the optimizer does not know the relationship between the partition column and the longitude.
E) The Delta Engine will use row-level statistics in the transaction log to identify the flies that meet the filter criteria.

2. A developer has successfully configured credential for Databricks Repos and cloned a remote Git repository. Hey don not have privileges to make changes to the main branch, which is the only branch currently visible in their workspace.
Use Response to pull changes from the remote Git repository commit and push changes to a branch that appeared as a changes were pulled.

A) Use repos to merge all difference and make a pull request back to the remote repository.
B) Use Repos to create a new branch commit all changes and push changes to the remote Git repertory.
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C) Use Repos to merge all differences and make a pull request back to the remote repository.
D) Use repos to create a fork of the remote repository commit all changes and make a pull request on the source repository
E) Use Repos to pull changes from the remote Git repository; commit and push changes to a branch that appeared as changes were pulled.

3. Which configuration parameter directly affects the size of a spark-partition upon ingestion of data into Spark?

A) spark.sql.autoBroadcastJoinThreshold
B) spark.sql.adaptive.advisoryPartitionSizeInBytes
C) spark.sql.files.maxPartitionBytes
D) spark.sql.adaptive.coalescePartitions.minPartitionNum
E) spark.sql.files.openCostInBytes

4. A production cluster has 3 executor nodes and uses the same virtual machine type for the driver and executor.
When evaluating the Ganglia Metrics for this cluster, which indicator would signal a bottleneck caused by code executing on the driver?

A) Bytes Received never exceeds 80 million bytes per second
B) The five Minute Load Average remains consistent/flat
C) Total Disk Space remains constant
D) Network I/O never spikes
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E) Overall cluster CPU utilization is around 25%

5. A Delta table of weather records is partitioned by date and has the below schema:
date DATE, device_id INT, temp FLOAT, latitude FLOAT, longitude FLOAT
To find all the records from within the Arctic Circle, you execute a query with the below filter:
latitude > 66.3
Which statement describes how the Delta engine identifies which files to load?

A) All records are cached to an operational database and then the filter is applied
B) The Hive metastore is scanned for min and max statistics for the latitude column
C) The Parquet file footers are scanned for min and max statistics for the latitude column
D) The Delta log is scanned for min and max statistics for the latitude column
E) All records are cached to attached storage and then the filter is applied Get Latest & Actual Certified-Data-Engineer-Professional Exam's Question and Answers from

質問と回答：

質問 # 1
正解： C

質問 # 2
正解： B

質問 # 3
正解： C

質問 # 4
正解： E

質問 # 5
正解： D