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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 develop a software as a service (SaaS) offering to manage photographs. Users upload photos to a web service which then stores the photos in Azure Storage Blob storage. The storage account type is General-purpose V2.
When photos are uploaded, they must be processed to produce and save a mobile-friendly version of the image. The process to produce a mobile-friendly version of the image must start in less than one minute.
You need to design the process that starts the photo processing.
Solution: Create an Azure Function app that uses the Consumption hosting model and that is triggered from the blob upload.
Does the solution meet the goal?
A. Yes
B. No
Answer: A
Explanation:
In the Consumption hosting plan, resources are added dynamically as required by your functions.
Reference:
https://docs.microsoft.com/en-us/azure/azure-functions/functions-create-storage-blob-triggered-function
NEW QUESTION: 2
You have an Azure data factory.
You need to ensure that pipeline-run data is retained for 120 days. The solution must ensure that you can query the data by using the Kusto query language.
Which four actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.
NOTE: More than one order of answer choices is correct. You will receive credit for any of the correct orders you select.
Answer:
Explanation:
Explanation
Step 1: Create an Azure Storage account that has a lifecycle policy
To automate common data management tasks, Microsoft created a solution based on Azure Data Factory.
The service, Data Lifecycle Management, makes frequently accessed data available and archives or purges other data according to retention policies. Teams across the company use the service to reduce storage costs, improve app performance, and comply with data retention policies.
Step 2: Create a Log Analytics workspace that has Data Retention set to 120 days.
Data Factory stores pipeline-run data for only 45 days. Use Azure Monitor if you want to keep that data for a longer time. With Monitor, you can route diagnostic logs for analysis to multiple different targets, such as a Storage Account: Save your diagnostic logs to a storage account for auditing or manual inspection. You can use the diagnostic settings to specify the retention time in days.
Step 3: From Azure Portal, add a diagnostic setting.
Step 4: Send the data to a log Analytics workspace,
Event Hub: A pipeline that transfers events from services to Azure Data Explorer.
Keeping Azure Data Factory metrics and pipeline-run data.
Configure diagnostic settings and workspace.
Create or add diagnostic settings for your data factory.
In the portal, go to Monitor. Select Settings > Diagnostic settings.
Select the data factory for which you want to set a diagnostic setting.
If no settings exist on the selected data factory, you're prompted to create a setting. Select Turn on diagnostics.
Give your setting a name, select Send to Log Analytics, and then select a workspace from Log Analytics Workspace.
Select Save.
Reference:
https://docs.microsoft.com/en-us/azure/data-factory/monitor-using-azure-monitor
NEW QUESTION: 3
You have written the following code snippet.
1.public class Read {
2.protected int ReadText(int x) { return 0; }
3.}
4.class Text extends Read {
5./*insert code here*/
6.}
Which of the following methods, inserted independently at line 5, will compile?
Each correct answer represents a complete solution. Choose all that apply.
A. protected long ReadText(long x) { return 0; }
B. protected long ReadText(int x, int y) { return 0; }
C. protected int ReadText(long x) { return 0; }
D. protected long ReadText(int x) { return 0; }
E. private int ReadText(int x) { return 0; }
F. public int ReadText(int x) { return 0; }
G. private int ReadText(long x) { return 0; }
Answer: A,B,C,F,G
NEW QUESTION: 4
View the Exhibit and examine the structure of ORDERS and CUSTOMERS tables.
There is only one customer with the cus_last_name column having value Roberts.
Which INSERT statement should be used to add a row into the ORDERS table for the customer whose CUST_LAST_NAME is Roberts and CREDIT_LIMIT is 600?
A. INSERT INTO orders (order_id.order_date.order_mode. (SELECT customer idFROM customersWHERE cust_last_iiame='Roberts' ANDredit_limit=600).order_total)VALUES(L'10-mar-2007'. 'direct', &&customer_id, 1000):
B. INSERT INTO(SELECT o.order_id. o.order_date.o.order_modex.customer_id.o.ordertotalFROM orders o. customers cWHERE o.customer_id = c.customeridAND c.cust_la$t_name-RoberTs' ANDc.credit_liinit=600)VALUES (L'10-mar-2007\ 'direct'.( SELECT customer_idFROM customersWHERE cust_last_iiame='Roberts' ANDcredit_limit=600). 1000);
C. INSERT INTO orders (order_id.order_date.order_mode.(SELECT customer_idFROM customersWHERE cust_last_iiame='Roberts' ANDcredit_limit=600).order_total)VALUES(l.'10-mar-2007\ 'direct'. &customer_id. 1000):
D. INSERT INTO orders VALUES (l.'10-mar-2007\ 'direct'. (SELECT customeridFROM customersWHERE cust_last_iiame='Roberts' ANDcredit_limit=600). 1000);
Answer: D
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