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NEW QUESTION: 1
Refer to the exhibit.
How does the router manage traffic to 192.168.12.16?
A. It chooses the OSPF route because it has the longest prefix inclusive of the destination address.
B. It selects the RIP route because it has the longest prefix inclusive of the destination address.
C. It chooses the EIGRP route because it has the lowest administrative distance
D. it load-balances traffic between all three routes
Answer: B
NEW QUESTION: 2
この質問については、JencoMartのケーススタディを参照してください。
JencoMartセキュリティチームは、すべてのGoogle Cloud Platformインフラストラクチャが、運用リソースと開発リソースの間で管理の職務を分離した最小権限モデルを使用して展開されることを要求しています。
どのGoogleドメインとプロジェクト構造をお勧めしますか？
A. 単一のG Suiteアカウントを作成して、開発/テスト/ステージング環境用の1つのプロジェクトと運用環境用の1つのプロジェクトでユーザーを管理します。
B. 単一のG Suiteアカウントを作成して、独自のプロジェクトの各アプリケーションの各ステージでユーザーを管理します。
C. 2つのG Suiteアカウントを作成してユーザーを管理します。1つは開発/テスト/ステージング用、もう1つは本番用です。
各アカウントには、アプリケーションごとに1つのプロジェクトが含まれている必要があります。
D. 2つのG Suiteアカウントを作成してユーザーを管理します。1つはすべての開発アプリケーション用の単一プロジェクト、もう1つはすべての本番アプリケーション用の単一プロジェクトです。
Answer: A
Explanation:
Explanation
Note: The principle of least privilege and separation of duties are concepts that, although semantically different, are intrinsically related from the standpoint of security. The intent behind both is to prevent people from having higher privilege levels than they actually need
* Principle of Least Privilege: Users should only have the least amount of privileges required to perform their job and no more. This reduces authorization exploitation by limiting access to resources such as targets, jobs, or monitoring templates for which they are not authorized.
* Separation of Duties: Beyond limiting user privilege level, you also limit user duties, or the specific jobs they can perform. No user should be given responsibility for more than one related function. This limits the ability of a user to perform a malicious action and then cover up that action.
References: https://cloud.google.com/kms/docs/separation-of-duties
NEW QUESTION: 3
An enterprise company's data science team wants to provide a safe, cost-effective way to provide easy access to Amazon SageMaker. The data scientists have limited AWS knowledge and need to be able to launch a Jupyter notebook instance. The notebook instance needs to have a preconfigured AWS KMS key to encrypt data at rest on the machine learning storage volume without exposing the complex setup requirements.
Which approach will allow the company to set up a self-service mechanism for the data scientists to launch Jupyter notebooks in its AWS accounts with the LEAST amount of operational overhead?
A. Create a serverless front end using a static Amazon S3 website to allow the data scientists to request a Jupyter notebook instance by filling out a form. Use Amazon API Gateway to receive requests from the S3 website and trigger a central AWS Lambda function to make an API call to Amazon SageMaker that launch a notebook instance with a preconfigured KMS key for the data scientists. Then call back to the front-end website to display the URL to the notebook instance.
B. Create an AWS CloudFormation template to launch a Jupyter notebook instance using the AWS::SaqeMaker::Notebooklnstance resource type with a preconfigured KMS key. Add a user-friendly name to the CloudFormation template. Display the URL to the notebook using the Outputs section. Distribute the CloudFormation template to the data scientists using a shared Amazon S3 bucket.
C. Create an AWS CLI script that the data scientists can run locally. Provide step-by-step instructions about the parameters to be provided while executing the AWS CLI script to launch a Jupyter notebook with a preconfigured KMS key. Distribute the CLI script to the data scientists using a shared Amazon S3 bucket.
D. Create an AWS CloudFormation template to launch a Jupyter notebook instance using the AWS::SageMaker::Notebooklnstance resource type with a preconfigured KMS key. Simplify the parameter names, such as the instance size, by mapping them to Small, Large, and X-Large using the Mappings section in CloudFormation. Display the URL to the notebook using the Outputs section, then upload the template into an AWS Service Catalog product in the data scientist's portfolio, and share it with the data scientist's IAM role.
Answer: D
Explanation:
https://aws.amazon.com/blogs/mt/enable-self-service-secured-data-science-using-amazon-sagemaker-notebooks-and-aws-service-catalog/
NEW QUESTION: 4
An existing customer has recently acquired a company. The customer wants to isolatethe new company's applications from their existing IT infrastructure as part ofintegration process. Which product should you upsell?
A. Beam
B. Calm
C. Flow
D. Xi
Answer: C