Databricks Associate-Developer-Apache-Spark-3.5 Q&A - in .pdf

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  • Exam Code: Associate-Developer-Apache-Spark-3.5
  • Exam Name: Databricks Certified Associate Developer for Apache Spark 3.5 - Python
  • PDF Version: V19.35
  • Q & A: 365 Questions and Answers
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NEW QUESTION: 1
You need to create an audit log of all changes to customer banking data. You use DynamoDB to store this customer banking data. It's important not to lose any information due to server failures.
What is an elegant way to accomplish this?
A. Before writing to DynamoDB, do a pre-write acknoledgment to disk on the application server, removing sensitive information before logging. Periodically rotate these log files into S3.
B. Before writing to DynamoDB, do a pre-write acknoledgment to disk on the application server, removing sensitive information before logging. Periodically pipe these files into CloudWatch Logs.
C. Use a DynamoDB StreamSpecification and periodically flush to an EC2 instance store, removing sensitive information before putting the objects. Periodically flush these batches to S3.
D. Use a DynamoDB StreamSpecification and stream all changes to AWS Lambda. Log the changes to AWS CloudWatch Logs, removing sensitive information before logging.
Answer: D
Explanation:
All suggested periodic options are sensitive to server failure during or between periodic flushes.
Streaming to Lambda and then logging to CloudWatch Logs will make the system resilient to instance and Availability Zone failures.
http://docs.aws.amazon.com/lambda/latest/dg/with-ddb.html

NEW QUESTION: 2
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You have an Azure subscription named Subscription1. Subscription1 contains a resource group named RG1. RG1 contains resources that were deployed by using templates.
You need to view the date and time when the resources were created in RG1.
Solution: From the RG1 blade, you click Deployments.
Does this meet the goal?
A. No
B. Yes
Answer: B
Explanation:
1. Select the resource group (Here RG1) you want to examine.
2. Select the link under Deployments.

3. Select one of the deployments from the deployment history.

4. You will see a history of deployment for the resource group, including the correlation ID.

Reference:
https://docs.microsoft.com/en-us/azure/azure-resource-manager/templates/deployment-history?tabs=azure-portal

NEW QUESTION: 3
The DBA needs to create a table with key columns YEARMONTH and YEAR. This table needs to be partitioned by column YEARMONTH with three months per data partition. Additionally, data needs to be organized by column YEAR, so that all rows within any three month date range are clustered together based on 12 months of data. Which CREATE TABLE statement will accomplish this objective?
A. CREATE TABLE tab1
(yearmonth INT,
year CHAR(2))
PARTITION BY RANGE (year) (STARTING 201001 ENDING 201012 EVERY 12)
ORGANIZE BY DIMENSIONS (yearmonth))
B. CREATE TABLE tab1
(yearmonth INT,
year CHAR(2))
PARTITION BY RANGE (yearmonth) (STARTING 201001 ENDING 201012 EVERY 12)
ORGANIZE BY DIMENSIONS (year))
C. CREATE TABLE tab1
(yearmonth INT,
year CHAR(2))
PARTITION BY RANGE (year) (STARTING 201001 ENDING 201012 EVERY 3)
ORGANIZE BY DIMENSIONS (yearmonth))
D. CREATE TABLE tab1
(yearmonth INT,
year CHAR(2))
PARTITION BY RANGE (yearmonth) (STARTING 201001 ENDING 201012 EVERY 3)
ORGANIZE BY DIMENSIONS (year))
Answer: D

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