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NEW QUESTION: 1
You have an Apache Spark DataFrame named temperatures. A sample of the data is shown in the following table.
You need to produce the following table by using a Spark SQL query.
How should you complete the query? To answer, drag the appropriate values to the correct targets. Each value may be used once more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
NEW QUESTION: 2
You want to exclude all newly created answer articles from calculating the solved count for 60 days from their creation date.
Which configuration setting should you change?
A. ANS_NOTIF _DURATION set to 60 days.
B. ANS_UPD_INC_DURATION set to 60 days.
C. ANS_NEW_INC_DURATION set to 60 days.
D. ADP_NUM_REL_ANS set to 60 days.
E. EU_FA_NEW_WIN_TYPES set to 60 days.
Answer: C
Explanation:
Explanation/Reference:
Explanation:
ANS_NEW_INC_DURATION denotes the number of days that the solved count of new answers will not be aged (reduced).
Incorrect ANswers:
B: ANS_NOTIF _DURATION denotes the number of days that an answer update notification request by an end-user will last before being deleted.
D: ANS_UPD_INC_DURATION denotes the number of days that the solved count of updated answers will not be aged (reduced).
References:
Oracle Service Cloud User Guide, Release February 2017, page 1147
NEW QUESTION: 3
You are planning a design pattern based on the Lambda architecture as shown in the exhibit.
Which Azure service should you use for the hot path?
A. Azure Databricks
B. Azure Database for PostgreSQL
C. Azure Data Factory
D. Azure SQL Database
Answer: A
Explanation:
In Azure, all of the following data stores will meet the core requirements supporting real-time processing:
* Apache Spark in Azure Databricks
* Azure Stream Analytics
* HDInsight with Spark Streaming
* HDInsight with Storm
* Azure Functions
* Azure App Service WebJobs
Note: Lambda architectures use batch-processing, stream-processing, and a serving layer to minimize the latency involved in querying big data.
References:
https://azure.microsoft.com/en-us/blog/lambda-architecture-using-azure-cosmosdb-faster-performance-low-tco-low-devops/
https://docs.microsoft.com/en-us/azure/architecture/data-guide/technology-choices/stream-processing
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