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NEW QUESTION: 1
You want to define a selected administrator's permission to edit a layer. However, when you click the + sign in the "Select additional profile that will be able edit this layer" you do not see anything. What is the most likely cause of this problem? Select the BEST answer.
A. There are no permission profiles available and you need to create one first.
B. All permissionprofiles are in use.
C. "Edit layers by selected profiles in a layer editor" is unselected in the Permission profile.
D. "Edit layers by Software Blades" is unselected in the Permission Profile
Answer: A
NEW QUESTION: 2
회사에는 온 프레미스 서버에서 실행되는 레거시 애플리케이션이 있습니다. 애플리케이션의 안정성을 높이기 위해 회사는 애플리케이션 로그를 사용하여 실행 가능한 통찰력을 얻고 자합니다. 솔루션 설계자에게는 솔루션에 대한 다음 요구 사항이 제공되었습니다.
AWS를 사용하여 로그를 집계합니다.
오류에 대한 로그 분석을 자동화합니다.
오류가 지정된 임계 값을 초과하면 운영 팀에 알립니다.
요구 사항을 충족하는 솔루션은 무엇입니까?
A. 서버에 Logstash를 설치하고, Amazon S3에 로그를 전송하고, Amazon Athena를 사용하여 오류를 식별하고, sendmail을 사용하여 운영 팀에 오류를 알립니다.
B. 서버에 Amazon CloudWatch 에이전트를 설치하고, Amazon CloudWatch Logs에 로그를 보내고, 지표 필터를 사용하여 오류를 식별하고, CloudWatch 경보를 생성하여 운영 팀에 오류를 알립니다.
C. 서버에 Amazon Kinesis 에이전트를 설치하고, Amazon Kinesis Data Streams에 로그를 전송하고, Amazon Kinesis Data Analytics를 사용하여 오류를 식별하고, Amazon CloudWatch 경보를 생성하여 운영 팀에 오류를 알립니다.
D. 서버에 AWS X-Ray 에이전트를 설치하고, 로그를 AWS Lambda로 전송하고,이를 분석하여 오류를 식별하고, Amazon CloudWatch Events를 사용하여 운영 팀에 오류를 알립니다.
Answer: B
Explanation:
Explanation
https://docs.aws.amazon.com/kinesis-agent-windows/latest/userguide/what-is-kinesis-agent-windows.html
https://medium.com/@khandelwal12nidhi/build-log-analytic-solution-on-aws-cc62a70057b2
NEW QUESTION: 3
You have spent a few days loading data from comma-separated values (CSV) files into the Google BigQuery table CLICK_STREAM. The column DT stores the epoch time of click events. For convenience, you chose a simple schema where every field is treated as the STRING type. Now, you want to compute web session durations of users who visit your site, and you want to change its data type to the TIMESTAMP. You want to minimize the migration effort without making future queries computationally expensive. What should you do?
A. Add two columns to the table CLICK STREAM: TS of the TIMESTAMP type and IS_NEW of the BOOLEAN type. Reload all data in append mode. For each appended row, set the value of IS_NEW to true. For future queries, reference the column TS instead of the column DT, with the WHERE clause ensuring that the value of IS_NEW must be true.
B. Delete the table CLICK_STREAM, and then re-create it such that the column DT is of the TIMESTAMP type. Reload the data.
C. Construct a query to return every row of the table CLICK_STREAM, while using the built-in function to cast strings from the column DT into TIMESTAMP values. Run the query into a destination table NEW_CLICK_STREAM, in which the column TS is the TIMESTAMP type. Reference the table NEW_CLICK_STREAM instead of the table CLICK_STREAM from now on. In the future, new data is loaded into the table NEW_CLICK_STREAM.
D. Create a view CLICK_STREAM_V, where strings from the column DT are cast into TIMESTAMP values. Reference the view CLICK_STREAM_V instead of the table CLICK_STREAM from now on.
E. Add a column TS of the TIMESTAMP type to the table CLICK_STREAM, and populate the numeric values from the column TS for each row. Reference the column TS instead of the column DT from now on.
Answer: A
NEW QUESTION: 4
Select and Place:
Answer:
Explanation: