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NEW QUESTION: 1
Which Azure service and feature should you recommend using to manage the transient data for Data Lake Storage? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation
Scenario: Stage inventory data in Azure Data Lake Storage Gen2 before loading the data into the analytical data store. Litware wants to remove transient data from Data Lake Storage once the data is no longer in use.
Files that have a modified date that is older than 14 days must be removed.
Service: Azure Data Factory
Clean up files by built-in delete activity in Azure Data Factory (ADF).
ADF built-in delete activity, which can be part of your ETL workflow to deletes undesired files without writing code. You can use ADF to delete folder or files from Azure Blob Storage, Azure Data Lake Storage Gen1, Azure Data Lake Storage Gen2, File System, FTP Server, sFTP Server, and Amazon S3.
You can delete expired files only rather than deleting all the files in one folder. For example, you may want to only delete the files which were last modified more than 13 days ago.
Feature: Delete Activity
Reference:
https://azure.microsoft.com/sv-se/blog/clean-up-files-by-built-in-delete-activity-in-azure-data-factory/
NEW QUESTION: 2
The following SAS program is submitted:
libname sasdata 'SAS-data-library';
data test;
set sasdata.chemists (keep = job_code);
if job_code = 'chem3'
then description = 'Senior Chemist';
run;
The variable JOB_CODE is a character variable with a length of 6 bytes.
Which one of the following is the length of the variable DESCRIPTION in the output data set?
A. 200 bytes
B. 14 bytes
C. 8 bytes
D. 6 bytes
Answer: B
NEW QUESTION: 3
Which of the following group activity techniques allows a large number of ideas to be sorted into groups for review and analysis?
A. Affinity diagram
B. Delphi technique
C. Idea/mind mapping
D. Nominal group technique
Answer: A
Explanation:
Explanation/Reference:
Explanation:
The various group creativity techniques are as follows: Brainstorming: It is a technique used to generate and collect multiple ideas related to the project and product requirements. Nominal group technique: It is a technique used to enhance brainstorming with a voting process used to rank the most useful ideas for further brainstorming or prioritization. Delphi technique: It is a techniques used to identify potential risk. In this technique, the responses are gathered via a questionnaire from different experts and their inputs are organized according to their contents. Idea/mind mapping: It is a technique used to map the ideas generated by brainstorming to reflect the commonality and differences in understanding and generating new ideas. Affinity diagram: It is a technique used to allow a large number of ideas to be sorted into groups for review and analysis.
NEW QUESTION: 4
Heniser Pet Foods manufactures two products. X and Y. The unit contribution margins for Products X and Y are US $30 and US $50, respectively. Each product uses Materials A and B. Product X uses 6 pounds of Material A and 12 pounds of Material B. Product Y uses 12 pounds of Material A and 8 pounds of Material B. The company can purchase only 1,200 pounds of Material A and 1,760 pounds of Material B. The optimal mix of products to manufacture is:
A. 0 units of X and 100 units of Y.
B. 120 units of X and 40 units of Y.
C. 146 units of X and 0 units of Y.
D. 40 units of X and 120 units of Y.
Answer: B
Explanation:
Linear programming is a technique used to maximize a contribution margin function or to minimize a cost function, subject to constraints such as scarce resources or minimum/maximum levels of production. Thus, linear programming is often used for planning resource allocations. In this problem, the equation to be maximized, called the objective function, is: US $30X + $50Y. This equation is to be maximized subject to the constraints on materials. The two constraint functions are:
Material A: 6X+12Y1.200 Material B: 12X + 8Y 1,760
One way to solve this problem is to graph the constraint lines and determine the feasible area. The optimal production level is at an extreme point within the feasible area. The graph shows that a production level of 120 units of X and 40 units of Y is a feasible production level that maximizes the contribution margin.