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NEW QUESTION: 1
Which of the following statements best describes risk management in the ADM?
A. Risk analysis is best conducted in the Architecture Vision phase so that the risk is eliminated in subsequent phases
B. Risk analysis is outside the scope of enterprise architecture projects
C. Risk is pervasive in all enterprise architecture activity and should be managed in all phases of the ADM
D. Risk analysis should be carried out first in the Migration Planning phase
E. The only risks that are within the scope of enterprise architecture are technological risks
Answer: C
NEW QUESTION: 2
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 create an Azure Machine Learning service datastore in a workspace. The datastore contains the following files:
* /data/2018/Q1 .csv
* /data/2018/Q2.csv
* /data/2018/Q3.csv
* /data/2018/Q4.csv
* /data/2019/Q1.csv
All files store data in the following format:
id,M,f2,l
1,1,2,0
2,1,1,1
32,10
You run the following code:
You need to create a dataset named training_data and load the data from all files into a single data frame by using the following code:
Solution: Run the following code:
Does the solution meet the goal?
A. Yes
B. No
Answer: A
NEW QUESTION: 3
Your company receives both batch- and stream-based event data. You want to process the data using Google Cloud Dataflow over a predictable time period. However, you realize that in some instances data can arrive late or out of order. How should you design your Cloud Dataflow pipeline to handle data that is late or out of order?
A. Ensure every datasource type (stream or batch) has a timestamp, and use the timestamps to define the logic for lagged data.
B. Use watermarks and timestamps to capture the lagged data.
C. Set sliding windows to capture all the lagged data.
D. Set a single global window to capture all the data.
Answer: B
Explanation:
A watermark is a threshold that indicates when Dataflow expects all of the data in a window to have arrived. If new data arrives with a timestamp that's in the window but older than the watermark, the data is considered late data.