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NEW QUESTION: 1
You work for a company that automatically tags photographs using artificial neural networks (ANNs),
which run on GPUs using C++. You receive millions of images at a time, but only 3 times per day on
average. These images are loaded into an AWS S3 bucket you control for you in a batch, and then the
customer publishes a JSON-formatted manifest into another S3 bucket you control as well. Each image
takes 10 milliseconds to process using a full GPU. Your neural network software requires 5 minutes to
bootstrap. Image tags are JSON objects, and you must publish them to an S3 bucket.
Which of these is the best system architectures for this system?
A. Make an S3 notification configuration which publishes to AWS Lambda on the manifest bucket. Make
the Lambda create a CloudFormation Stack which contains the logic to construct an autoscaling worker
tier of EC2 G2 instances with the ANN code on each instance. Create an SQS queue of the images in the
manifest. Tear the stack down when the queue is empty.
B. Create an Auto Scaling, Load Balanced Elastic Beanstalk worker tier Application and Environment.
Deploy the ANN code to G2 instances in this tier. Set the desired capacity to 1. Make the code
periodically check S3 for new manifests. When a new manifest is detected, push all of the images in the
manifest into the SQS queue associated with the Elastic Beanstalk worker tier.
C. Deploy your ANN code to AWS Lambda as a bundled binary for the C++ extension. Make an S3
notification configuration on the manifest, which publishes to another AWS Lambda running controller
code. This controller code publishes all the images in the manifest to AWS Kinesis. Your ANN code
Lambda Function uses the Kinesis as an Event Source. The system automatically scales when the
stream contains image events.
D. Create an OpsWorks Stack with two Layers. The first contains lifecycle scripts for launching and
bootstrapping an HTTP API on G2 instances for ANN image processing, and the second has an
always-on instance which monitors the S3 manifest bucket for new files. When a new file is detected,
request instances to boot on the ANN layer. When the instances are booted and the HTTP APIs are up,
submit processing requests to individual instances.
Answer: A
Explanation:
The Elastic Beanstalk option is incorrect because it requires a constantly-polling instance, which may
break and costs money.
The Lambda fleet option is incorrect because AWS Lambda does not support GPU usage.
The OpsWorks stack option both requires a constantly-polling instance, and also requires complex timing
and capacity planning logic.
The CloudFormation option requires no polling, has no always-on instances, and allows arbitrarily fast
processing by simply setting the instance count as high as needed.
Reference: http://docs.aws.amazon.com/lambda/latest/dg/current-supported-versions.html

NEW QUESTION: 2
Spoofing is a sophisticated technique of authenticating one computer to another by forging IP packets from a trusted source address(True / False)
A. False
B. True
Answer: B
Explanation:
Spoofing can be achieved by exploiting trust and authentication.

NEW QUESTION: 3
コンテナデータベース（CDB）の1つには、5つのプラグ可能なデータベース（PDB）があります。
COMMON_USER_PREFIXはC ##です。
SYSとしてCDB $ ROOTに接続している間に、これらのコマンドは正常に実行されました。
SQL> CREATE USER c##dba_admin IDENTIFIED BY orcl123;
SQL> CREATE ROLE c##role1 CONTAINER=ALL;
SQL> GRANT CREATE VIEW TO c##role1 CONTAINER=ALL;
SQL> GRANT c##role1 TO c##dba_admin CONTAINER=ALL;
SQL> GRANT c##role1 to system CONTAINER=ALL;
どれが本当ですか？ （3つ選択してください。）
A. C ## DBA_ADMINユーザーは、CDB $ ROOTのローカルユーザーです。
B. C ## DBA_ADMINユーザーは、CDB $ ROOTおよびPDB $ SEEDのローカルユーザーです。
C. SYSTEMは、DBAユーザーである結果として、任意のPDBにビューを作成できます。
D. C ## DBA_ADMINユーザーは、C ## ROLE1ロールを付与された結果として、任意のPDBにビューを作成できます。
E. SYSTEMは、C ## ROLE1ロールを付与された結果として、任意のPDBにビューを作成できます。
F. c ## role1ロールは、現在および将来のすべてのPDBで常に同じ権限を持ちます。
Answer: D,E,F