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NEW QUESTION: 1
ユーザーは冷蔵庫工場を持っています。ユーザーは、15分ごとにプラントの温度を測定しています。ユーザーがデータをCloudWatchに送信してデータを視覚的に表示したい場合、上記の情報に関して以下の記述のうちどれが当てはまりますか？
A. ユーザーはAWS Import Export機能を使用してCloudWatchにデータをインポートできます
B. ユーザーはAWSコンソールからデータをアップロードします
C. AWSサービスのメトリックではないため、ユーザーはCloudWatchにデータをアップロードできません
D. ユーザーは、AWS CLIまたはAPIを使用してデータをアップロードする必要があります
Answer: D
Explanation:
Explanation
AWS CloudWatch supports the custom metrics. The user can always capture the custom data and upload the data to CloudWatch using CLI or APIs. While sending the data the user has to include the metric name, namespace and timezone as part of the request.

NEW QUESTION: 2
You want to capture column group usage and gather extended statistics for better cardinality estimates for the CUSTOMERS table in the SH schema.
Examine the following steps:
1. Issue the SELECT DBMS_STATS.CREATE_EXTENDED_STATS ('SH', 'CUSTOMERS') FROM dual statement.
2. Execute the DBMS_STATS.SEED_COL_USAGE (null, 'SH', 500) procedure.
3. Execute the required queries on the CUSTOMERS table.
4. Issue the SELECT DBMS_STATS.REPORT_COL_USAGE ('SH', 'CUSTOMERS') FROM dual statement.
Identify the correct sequence of steps.
A. 4, 1, 3, 2
B. 3, 2, 1, 4
C. 3, 2, 4, 1
D. 2, 3, 4, 1
Answer: D
Explanation:
Step 1 (2). Seed column usage
Oracle must observe a representative workload, in order to determine the appropriate column groups. Using the new procedure DBMS_STATS.SEED_COL_USAGE, you tell Oracle how long it should observe the workload.
Step 2: (3) You don't need to execute all of the queries in your work during this window. You can simply run explain plan for some of your longer running queries to ensure column group information is recorded for these queries.
Step 3. (1) Create the column groups
At this point you can get Oracle to automatically create the column groups for each of the tables based on the usage information captured during the monitoring window. You simply have to call the DBMS_STATS.CREATE_EXTENDED_STATS function for each table.This function requires just two arguments, the schema name and the table name. From then on, statistics will be maintained for each column group whenever statistics are gathered on the table.
Note:
* DBMS_STATS.REPORT_COL_USAGE reports column usage information and records all the SQL operations the database has processed for a given object.
* The Oracle SQL optimizer has always been ignorant of the implied relationships between data columns within the same table. While the optimizer has traditionally analyzed the distribution of values within a column, he does not collect value-based relationships between columns.
* Creating extended statisticsHere are the steps to create extended statistics for related table columns withdbms_stats.created_extended_stats:
1 - The first step is to create column histograms for the related columns.2 - Next, we run dbms_stats.create_extended_stats to relate the columns together.
Unlike a traditional procedure that is invoked via an execute ("exec") statement, Oracle extended statistics are created via a select statement.

NEW QUESTION: 3
How can AMPscript customize email messages?
A. Insert responsive content based on the user's viewing device.
B. Provide advanced content personalization
C. Automate the flow of creating email messages.
D. Automate the template creation process.
Answer: B

NEW QUESTION: 4
毎日のシステム生成電子メールとは何ですか？
A. スター付き見込み客活動アラート
B. 毎日の見込み客活動のEメール（すべての見込み客向け）
C. 毎日の見込み客割り当てメール
D. 毎日の訪問者活動のEメール
E. 毎日の見込み客活動のEメール（私の見込み客向け）
F. 毎週の検索マーケティングEメール（月曜日に送信）
G. プロスペクト割り当て通知
Answer: B,C,D,E