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D) The customers table is implemented as a Type 2 table; old values are maintained but marked as no longer current and new values are inserted.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

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

3. A data architect has designed a system in which two Structured Streaming jobs will concurrently write to a single bronze Delta table. Each job is subscribing to a different topic from an Apache Kafka source, but they will write data with the same schema. To keep the directory structure simple, a data engineer has decided to nest a checkpoint directory to be shared by both streams.
The proposed directory structure is displayed below:

Which statement describes whether this checkpoint directory structure is valid for the given scenario and why?

A) No; only one stream can write to a Delta Lake table.
B) No; each of the streams needs to have its own checkpoint directory.
C) No; Delta Lake manages streaming checkpoints in the transaction log.
D) Yes; Delta Lake supports infinite concurrent writers.
E) Yes; both of the streams can share a single checkpoint directory.
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4. 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) ZORDER ON review will need to be run to see performance gains.
D) The Delta log creates a term matrix for free text fields to support selective filtering.
E) Delta Lake statistics are not optimized for free text fields with high cardinality.

5. Two of the most common data locations on Databricks are the DBFS root storage and external object storage mounted with dbutils.fs.mount().
Which of the following statements is correct?

A) By default, both the DBFS root and mounted data sources are only accessible to workspace administrators.
B) DBFS is a file system protocol that allows users to interact with files stored in object storage using syntax and guarantees similar to Unix file systems.
C) The DBFS root stores files in ephemeral block volumes attached to the driver, while mounted directories will always persist saved data to external storage between sessions.
D) Neither the DBFS root nor mounted storage can be accessed when using %sh in a Databricks notebook.
E) The DBFS root is the most secure location to store data, because mounted storage volumes must have full public read and write permissions.

問題與答案：