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NEW QUESTION: 1
For this question, refer to the TerramEarth case study. You need to implement a reliable, scalable GCP
solution for the data warehouse for your company, TerramEarth.
Considering the TerramEarth business and technical requirements, what should you do?
A. Replace the existing data warehouse with BigQuery. Use federated data sources.
B. Replace the existing data warehouse with a Compute Engine instance with 96 CPUs. Add an additional
Compute Engine pre-emptible instance with 32 CPUs.
C. Replace the existing data warehouse with a Compute Engine instance with 96 CPUs.
D. Replace the existing data warehouse with BigQuery. Use table partitioning.
Answer: A
NEW QUESTION: 2
The forecast costs per unit for a new product are as follows:
The company uses marginal cost plus pricing and all products are required to achieve a 40% margin.
What would be the selling price per unit?
A. $37.80
B. $55.00
C. $46.20
D. $45.00
Answer: C
NEW QUESTION: 3
You have a CSV file that contains user complaints. The file contains a column named Logged. Logged contains the date and time each compliant occurred. The data in Logged is in the following format: 2018-12-31 at 08:59.
You need to be able to analyze the complaints by the logged date and use a built-in date hierarchy.
D18912E1457D5D1DDCBD40AB3BF70D5D
What should you do?
A. Change the data type of the Logged column to Date.
B. Create a column by example that starts with 2018-12-31 and set the data type of the new column to Date.
C. Apply a transform to extract the last 11 characters of the Logged column and set the data type of the new column to Date.
D. Apply a transform to extract the first 11 characters of the Logged column.
Answer: D
Explanation:
With Power Query you can Split Date and Time into Separate Columns by using a transform.
Reference:
https://www.exceljetconsult.com.ng/home/blog/power-query-split-date-and-time-into-separate-columns/