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NEW QUESTION: 1
If (A+B) = 4, (B+C) = 9 and (C+D) = 3, what is the value of (A+D)?
A. 8.
B. 2.
C. -2.
D. 7.
E. 16.
Answer: E
Explanation:
Explanation/Reference:
Explanation:
Take equation 1 + equation 3 - equation 2 and you'll get 4 + 3 - 9 = -2.
NEW QUESTION: 2
You have created an Autonomous Data Warehouse (ADW) service in your company's Oracle Cloud Infrastructure (OCI) tenancy and you now have to load historical data Into It. You have already extracted this historical data from multiple data marts and data warehouses. This data is stored in multiple CSV text files and these file are ranging in size from 25 MB to 20 GB.
Which step Is most efficient and error tolerant method for loading data Into ADW?
A. Create Auth token, use It to create an object storage credential by executing DBMS_CLOUD.CREATE_CREDENTIAL, using the web console upload the CSV files to an OCI object storage bucket, create the tables in the ADW database and then execute DBMS_CLOUD.COPY_DATA for each CSV file to copy the contents into the corresponding ADW database table.
B. Create Auth token, use it to create an object storage credential by executing DBMS_CLOUD.CREATE_CREDENTIAL, using OCI CLI upload the CSV files to an OCI object storage bucket, create the tables In the ADW database and then execute Data Pump Import for each CSV fileto copy the contents into the corresponding ADW database table.
C. Create Auth token, use it to create an object storage credential by
executingDBMS_CLOUD.CREATE_CREDENTIAL, using OCI CLI upload the CSV files to an OCI object storage bucket, create the tables in the ADW database and then execute DBMS_CLOUD.COPY_DATA for each CSV file to copy the contents into the corresponding ADW database table.
D. Create the tables In the ADW database and then execute SQL*Loader for each CSV file to load the contents Into the corresponding ADW database table.
Answer: C
Explanation:
Explanation
You can load data into Autonomous Data Warehouse using Oracle Database tools, and Oracle and 3rd party data integration tools. You can load data:
- from files local to your clientcomputer, or
- from files stored in a cloud-based object store
For the fastest data loading experience Oracle recommends uploading the source files to a cloud-based object store, such as Oracle Cloud Infrastructure Object Storage, before loading the data into your Autonomous Data Warehouse.
To load data from files in the cloud into your Autonomous Data Warehouse database, use the new PL/SQL DBMS_CLOUD package. The DBMS_CLOUD package supports loading data files from the following Cloud sources: Oracle CloudInfrastructure Object Storage, Oracle Cloud Infrastructure Object Storage Classic, and Amazon AWS S3
https://www.oracle.com/webfolder/technetwork/tutorials/obe/cloud/adwc/OBE_Loading%20Your%20Data/load
NEW QUESTION: 3
開発者のチームは、AWS Elastic Beanstalk環境内で実行されているアプリケーションをClassic Load BalancerからApplication Load Balancerに移行する必要があります。
AWSマネジメントコンソールを使用してタスクを実行するには、どの手順を実行する必要がありますか?
A. 1.既存のデプロイメントの環境定義を編集します。
2.要件に従って、関連するロードバランサーのタイプを変更します。
3.新しいロードバランサータイプで環境を再構築します。
B. 1.既存の環境のクローンを作成し、関連するロードバランサータイプを変更します。
2.元の環境で使用されているのと同じバージョンのアプリケーションをデプロイします。
3. swap-environment-cnamesアクションを実行します。
C. 1.既存の展開のアプリケーションコードを更新します。
2.展開を実行する前に、新しいロードバランサータイプを選択します。
3.アプリケーションコードの新しいバージョンを環境に展開します。
D. 1.ロードバランサータイプを除き、同じ構成で新しい環境を作成します。
2.元の環境で使用されているのと同じバージョンのアプリケーションをデプロイします。
3. swap-environment-cnamesアクションを実行します。
Answer: D
Explanation:
https://docs.aws.amazon.com/elasticbeanstalk/latest/dg/using-features.managing.elb.html
By default, Elastic Beanstalk creates an Application Load Balancer for your environment when you enable load balancing with the Elastic Beanstalk console or the EB CLI. It configures the load balancer to listen for HTTP traffic on port 80 and forward this traffic to instances on the same port. You can choose the type of load balancer that your environment uses only during environment creation. Later, you can change settings to manage the behavior of your running environment's load balancer, but you can't change its type.