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NEW QUESTION: 1
Which example of personally identifiable information is true?
A. vulnerability on a personal laptop
B. employer address
C. date of birth
D. employee benefit
Answer: C
NEW QUESTION: 2
Your environment contains several Microsoft Azure SQL databases.
You need to prevent inbound connections from the Internet to the databases when CPU utilization exceeds
90 percent.
Which two tasks should you perform? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
A. Create an Azure Data Factory pipeline.
B. Create an Azure metric alert.
C. Create a SQL Server Agent job.
D. Create an Azure alert based on an event
E. Deploy an Azure logic app.
Answer: B,E
NEW QUESTION: 3
You work for a large fast food restaurant chain with over 400,000 employees. You store employee information in Google BigQuery in a Userstable consisting of a FirstNamefield and a LastNamefield. A member of IT is building an application and asks you to modify the schema and data in BigQuery so the application can query a FullNamefield consisting of the value of the FirstNamefield concatenated with a space, followed by the value of the LastNamefield for each employee. How can you make that data available while minimizing cost?
A. Create a view in BigQuery that concatenates the FirstNameand LastNamefield values to produce the FullName.
B. Add a new column called FullNameto the Users table. Run an UPDATEstatement that updates the FullNamecolumn for each user with the concatenation of the FirstNameand LastNamevalues.
C. Create a Google Cloud Dataflow job that queries BigQuery for the entire Userstable, concatenates the FirstNamevalue and LastNamevalue for each user, and loads the proper values for FirstName, LastName, and FullNameinto a new table in BigQuery.
D. Use BigQuery to export the data for the table to a CSV file. Create a Google Cloud Dataproc job to process the CSV file and output a new CSV file containing the proper values for FirstName, LastNameand FullName. Run a BigQuery load job to load the new CSV file into BigQuery.
Answer: C