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NEW QUESTION 50
A data engineer has created a Delta table as part of a data pipeline. Downstream data analysts now need
SELECT permission on the Delta table.
Assuming the data engineer is the Delta table owner, which part of the Databricks Lakehouse Plat-form can
the data engineer use to grant the data analysts the appropriate access?

• A. Databricks Filesystem
• B. Repos
• C. Data Explorer
• D. Jobs
  B Dashboards

Answer: B

NEW QUESTION 51
You are still noticing slowness in query after performing optimize which helped you to resolve the small files problem, the column(transactionId) you are using to filter the data has high cardinality and auto incrementing number. Which delta optimization can you enable to filter data effectively based on this column?

• A. transactionId has high cardinality, you cannot enable any optimization.
• B. Increase the cluster size and enable delta optimization
• C. Create BLOOM FLTER index on the transactionId
• D. Increase the driver size and enable delta optimization
• E. Perform Optimize with Zorder on transactionId
  (Correct)

Answer: E

Explanation:
Explanation
The answer is, perform Optimize with Z-order by transactionid
Here is a simple explanation of how Z-order works, once the data is naturally ordered, when a flle is scanned it only brings the data it needs into spark's memory Based on the column min and max it knows which data files needs to be scanned.
Table Description automatically generated

Graphical user interface, diagram, application Description automatically generated

NEW QUESTION 52
A junior data engineer needs to create a Spark SQL table my_table for which Spark manages both the data and
the metadata. The metadata and data should also be stored in the Databricks Filesystem (DBFS).
Which of the following commands should a senior data engineer share with the junior data engineer to
complete this task?

• A. 1. CREATE TABLE my_table (id STRING, value STRING);
• B. 1. CREATE TABLE my_table (id STRING, value STRING) USING DBFS;
• C. 1. CREATE MANAGED TABLE my_table (id STRING, value STRING) USING
  2. org.apache.spark.sql.parquet OPTIONS (PATH "storage-path");
• D. 1. CREATE MANAGED TABLE my_table (id STRING, value STRING);
• E. 1. CREATE TABLE my_table (id STRING, value STRING) USING
  2. org.apache.spark.sql.parquet OPTIONS (PATH "storage-path")

Answer: A

NEW QUESTION 53
......