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NEW QUESTION: 1
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 the following C# code. (Line numbers are included for reference only.)

You need the foreach loop to display a running total of the array elements, as shown in the following output.
1
3
6
10
15
Solution: You insert the following code at line 02:

Does this meet the goal?
A. Yes
B. No
Answer: A

NEW QUESTION: 2
A financial services company is building a robust serverless data lake on Amazon S3. The data lake should be flexible and meet the following requirements:
* Support querying old and new data on Amazon S3 through Amazon Athena and Amazon Redshift Spectrum.
* Support event-driven ETL pipelines.
* Provide a quick and easy way to understand metadata.
Which approach meets trfese requirements?
A. Use an AWS Glue crawler to crawl S3 data, an AWS Lambda function to trigger an AWS Glue ETL job, and an AWS Glue Data catalog to search and discover metadata.
B. Use an AWS Glue crawler to crawl S3 data, an Amazon CloudWatch alarm to trigger an AWS Batch job, and an AWS Glue Data Catalog to search and discover metadata.
C. Use an AWS Glue crawler to crawl S3 data, an Amazon CloudWatch alarm to trigger an AWS Glue ETL job, and an external Apache Hive metastore to search and discover metadata.
D. Use an AWS Glue crawler to crawl S3 data, an AWS Lambda function to trigger an AWS Batch job, and an external Apache Hive metastore to search and discover metadata.
Answer: A

NEW QUESTION: 3
You use a customer master data table as a left table and a transactional sales data table as a right table within a graphical SAP HANA Calculation View.
You want to focus in your report on transactional data showing both: customers with sales volume and without.
Which join type should be used?
A. Right Outer Join
B. Full Outer Join
C. Referential Join
D. Left Outer Join
Answer: D