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NEW QUESTION: 1
Input rows to a Transformer contain a product name field and a field with a list of colors the product can be ordered with. The colors are separated by the pipe character (|). Here is an example of an input row: "Shirt"| ....| "Red, Blue, Black"|... For each input row, you want to output multiple output rows, one for each color in the list. For the above example input row, three rows are to be output, one per color: "Shirt" ... "Red", "Shirt" ... "Blue", "Shirt" ... "Black".
Which three operations will you need to accomplish this? (Choose three.)
A. Use the SaveInputRecord() to save the input row for processing in the loop. Use the GetInputRecord() to extract the row for each iteration of the loop.
B. Use the @ITERATION variable to determine which color in the ColorList field to extract using the Field function.
C. Use the LastRowInGroup() function to determine when the last color in the color list has been processed.
D. Specify the following loop condition: @ITERATION <= n,where n is a stage variable initialized with number of loop iterations.
E. Use the Count() function over the ColorList field to determine the number of loop iterations.
Answer: B,D,E
NEW QUESTION: 2
From the output below, where is this fingerprint generated?
Checkpoint 156-215.75 : Practice Test
A. SmartDashboard
B. SmartUpdate
C. Security Management Server
D. SmartConsole
Answer: C
Explanation:
New Questions
NEW QUESTION: 3
You need to authenticate the user to the corporate website as indicated by the architectural diagram.
Which two values should you use? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
A. Azure AD endpoint URI
B. ID token signature
C. HTTP response code
D. Azure AD tenant ID
E. ID token claims
Answer: A,B
Explanation:
Explanation
Claims in access tokens
JWTs (JSON Web Tokens) are split into three pieces:
* Header - Provides information about how to validate the token including information about the type of token and how it was signed.
* Payload - Contains all of the important data about the user or app that is attempting to call your service.
* Signature - Is the raw material used to validate the token.
Your client can get an access token from either the v1.0 endpoint or the v2.0 endpoint using a variety of protocols.
Scenario: User authentication (see step 5 below)
The following steps detail the user authentication process:
* The user selects Sign in in the website.
* The browser redirects the user to the Azure Active Directory (Azure AD) sign in page.
* The user signs in.
* Azure AD redirects the user's session back to the web application. The URL includes an access token.
* The web application calls an API and includes the access token in the authentication header. The application ID is sent as the audience ('aud') claim in the access token.
* The back-end API validates the access token.
Reference:
https://docs.microsoft.com/en-us/azure/api-management/api-management-access-restriction-policies
NEW QUESTION: 4
You have spent a few days loading data from comma-separated values (CSV) files into the Google
BigQuery table CLICK_STREAM. The column DTstores the epoch time of click events. For convenience,
you chose a simple schema where every field is treated as the STRINGtype. Now, you want to compute
web session durations of users who visit your site, and you want to change its data type to the
TIMESTAMP. You want to minimize the migration effort without making future queries computationally
expensive. What should you do?
A. Delete the table CLICK_STREAM, and then re-create it such that the column DTis of the TIMESTAMP
type. Reload the data.
B. Add a column TSof the TIMESTAMPtype to the table CLICK_STREAM, and populate the numeric
values from the column TSfor each row. Reference the column TSinstead of the column DTfrom now
on.
C. Construct a query to return every row of the table CLICK_STREAM, while using the built-in function to
cast strings from the column DTinto TIMESTAMPvalues. Run the query into a destination table
NEW_CLICK_STREAM, in which the column TSis the TIMESTAMPtype. Reference the table
NEW_CLICK_STREAMinstead of the table CLICK_STREAMfrom now on. In the future, new data is
loaded into the table NEW_CLICK_STREAM.
D. Create a view CLICK_STREAM_V, where strings from the column DTare cast into TIMESTAMPvalues.
Reference the view CLICK_STREAM_Vinstead of the table CLICK_STREAMfrom now on.
E. Add two columns to the table CLICK STREAM: TSof the TIMESTAMPtype and IS_NEWof the
BOOLEANtype. Reload all data in append mode. For each appended row, set the value of IS_NEWto
true. For future queries, reference the column TSinstead of the column DT, with the WHEREclause
ensuring that the value of IS_NEWmust be true.
Answer: E