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NEW QUESTION: 1



A. Option C
B. Option D
C. Option E
D. Option B
E. Option A
Answer: B,D,E

NEW QUESTION: 2
For the best possible performance, what is the recommended zone for your Compute Engine instance and Cloud Bigtable instance?
A. Have the Compute Engine instance in the furthest zone from the Cloud Bigtable instance.
B. Have both the Compute Engine instance and the Cloud Bigtable instance to be in the same zone.
C. Have both the Compute Engine instance and the Cloud Bigtable instance to be in different zones.
D. Have the Cloud Bigtable instance to be in the same zone as all of the consumers of your data.
Answer: B
Explanation:
It is recommended to create your Compute Engine instance in the same zone as your Cloud Bigtable instance for the best possible performance, If it's not possible to create a instance in the same zone, you should create your instance in another zone within the same region. For example, if your Cloud Bigtable instance is located in us-central1-b, you could create your instance in us-central1-f. This change may result in several milliseconds of additional latency for each Cloud Bigtable request.
It is recommended to avoid creating your Compute Engine instance in a different region from your Cloud Bigtable instance, which can add hundreds of milliseconds of latency to each Cloud Bigtable request.
Reference: https://cloud.google.com/bigtable/docs/creating-compute-instance

NEW QUESTION: 3
You need to configure the replication topology for the branch offices.
What should you recommend? (Choose all that apply.)
A. Delete the automatically created site links for the branch office domain controllers.
B. Disable the Knowledge Consistency Checker (KCC).
C. Create site links between the data center domain controllers with a cost of 25.
D. Create site links between the branch office domain controllers with a cost of 50.
E. Create site links between the branch office domain controllers and the data center domain controllers with a cost of 50.
Answer: A,E

NEW QUESTION: 4
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 scenario, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You are developing a solution that will use Azure Stream Analytics. The solution will accept an Azure Blob storage file named Customers. The file will contain both in-store and online customer details. The online customers will provide a mailing address.
You have a file in Blob storage named LocationIncomes that contains based on location. The file rarely changes.
You need to use an address to look up a median income based on location. You must output the data to Azure SQL Database for immediate use and to Azure Data Lake Storage Gen2 for long-term retention.
Solution: You implement a Stream Analytics job that has one streaming input, one reference input, one query, and two outputs.
Does this meet the goal?
A. No
B. Yes
Answer: A
Explanation:
Explanation
We need one reference data input for LocationIncomes, which rarely changes.
We need two queries, on for in-store customers, and one for online customers.
For each query two outputs is needed.
Note: Stream Analytics also supports input known as reference data. Reference data is either completely static or changes slowly.
References:
https://docs.microsoft.com/en-us/azure/stream-analytics/stream-analytics-add-inputs#stream-and-reference-inpu
https://docs.microsoft.com/en-us/azure/stream-analytics/stream-analytics-define-outputs