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

1. A junior data engineer is working to implement logic for a Lakehouse table named silver_device_recordings. The source data contains 100 unique fields in a highly nested JSON Get Latest & Actual Certified-Data-Engineer-Professional Exam's Question and Answers from structure.
The silver_device_recordings table will be used downstream for highly selective joins on a number of fields, and will also be leveraged by the machine learning team to filter on a handful of relevant fields, in total, 15 fields have been identified that will often be used for filter and join logic.
The data engineer is trying to determine the best approach for dealing with these nested fields before declaring the table schema.
Which of the following accurately presents information about Delta Lake and Databricks that may Impact their decision-making process?

A) Tungsten encoding used by Databricks is optimized for storing string data: newly-added native support for querying JSON strings means that string types are always most efficient.
B) Because Delta Lake uses Parquet for data storage, Dremel encoding information for nesting can be directly referenced by the Delta transaction log.
C) By default Delta Lake collects statistics on the first 32 columns in a table; these statistics are leveraged for data skipping when executing selective queries.
D) Schema inference and evolution on Databricks ensure that inferred types will always accurately match the data types used by downstream systems.

2. Each configuration below is identical to the extent that each cluster has 400 GB total of RAM, 160 total cores and only one Executor per VM.
Given a job with at least one wide transformation, which of the following cluster configurations will result in maximum performance?

A) Total VMs: 2
200 GB per Executor
80 Cores / Executor
B) Total VMs: 1
400 GB per Executor
160 Cores / Executor
C) Total VMs: 8
50 GB per Executor
20 Cores / Executor
D) Total VMs: 4
100 GB per Executor
40 Cores/Executor

3. The data science team has requested assistance in accelerating queries on free form text from user reviews. The data is currently stored in Parquet with the below schema:
item_id INT, user_id INT, review_id INT, rating FLOAT, review STRING
The review column contains the full text of the review left by the user. Specifically, the data science team is looking to identify if any of 30 key words exist in this field.
A junior data engineer suggests converting this data to Delta Lake will improve query performance.
Which response to the junior data engineer s suggestion is correct?

A) Text data cannot be stored with Delta Lake.
B) Delta Lake statistics are only collected on the first 4 columns in a table.
C) The Delta log creates a term matrix for free text fields to support selective filtering.
D) ZORDER ON review will need to be run to see performance gains.
E) Delta Lake statistics are not optimized for free text fields with high cardinality.

4. The view updates represents an incremental batch of all newly ingested data to be inserted or updated in the customers table.
The following logic is used to process these records.
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Which statement describes this implementation?

A) The customers table is implemented as a Type 3 table; old values are maintained as a new column alongside the current value.
B) The customers table is implemented as a Type 2 table; old values are overwritten and new customers are appended.
C) The customers table is implemented as a Type 1 table; old values are overwritten by new values and no history is maintained.
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.
E) The customers table is implemented as a Type 0 table; all writes are append only with no changes to existing values.

5. Which statement describes integration testing?

A) Requires manual intervention
B) Validates behavior of individual elements of your application
C) Validates interactions between subsystems of your application
D) Validates an application use case
E) Requires an automated testing framework

質問と回答：