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NEW QUESTION: 1
ユーザーが過去1週間のすべてのCloudWatchメトリックスデータを集約しようとしています。
下記の統計のうちどれがデータ集約の一部としてユーザーに利用できないのですか？
A. 集計
B. 平均
C. 合計
D. サンプルデータ
Answer: A
Explanation:
Amazon CloudWatch is basically a metrics repository. Either the user can send the custom data or an AWS product can put metrics into the repository, and the user can retrieve the statistics based on those metrics. The statistics are metric data aggregations over specified periods of time. Aggregations are made using the namespace, metric name, dimensions, and the data point unit of measure, within the time period that is specified by the user. CloudWatch supports Sum, Min, Max, Sample Data and Average statistics aggregation.

NEW QUESTION: 2
財務レポート内のユーザーの視点バーに表示される2つのディメンションはどれですか。 （2つ選択してください。）
A. アカウントとしてタグ付けされたディメンション
B. 時間としてタグ付けされたディメンション
C. ディメンションは現在、行、列、またはページで定義されていません
D. 現在の視点にフラグが立てられている行、列、またはページのディメンション
Answer: B,D
Explanation:
Explanation
The following figure shows an example of an income statement report run from the Financial Reporting Center. The report has a logo and title. The grid point of view includes the ledger, scenario, balance amount, currency, and currency type dimensions. The company dimension is at the page level. Twelve accounting periods appear as columns and the revenue and expense accounts appear as rows. The chart displays expenses by month.

References:
https://docs.oracle.com/en/cloud/saas/financials/r13-update17d/faugl/financial-reporting-and-analysis.html#FAU

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. 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.
C. 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.
D. 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.
E. Delete the table CLICK_STREAM, and then re-create it such that the column DT is of the TIMESTAMP type. Reload the data.
Answer: A

NEW QUESTION: 4
A lead object has a custom field Prior_Email__c. The following trigger is intended to copy the current Email into the Prior_Email__c field any time the Email field is changed:

Which type of exception will this trigger cause?
A. A null reference exception
B. A DML exception
C. A compile time exception
D. A limit exception when doing a bulk update
Answer: B