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NEW QUESTION: 1

A. The AWS CLI is corrupt and needs to be reinstalled
B. An IAM inline policy is being used on the IAM role
C. The AWS credential provider looks for instance profile credentials last
D. An IAM managed policy is being used on the IAM role
Answer: C
Explanation:
Explanation
AWS credentials provider chain that looks for credentials in this order:
* Environment Variables - AWS_ACCESS_KEY_ID and AWS_SECRET_ACCESS_KEY (RECOMME NDED since they are recognized by all the AWS SDKs and CLI except for .NET), or AWS_ACCESS_KEY and AWS_SECRET_KEY (only recognized by Java SDK)
* Java System Properties - aws.accessKeyId and aws.secretKey
* Credential profiles file at the default location (~/.aws/credentials) shared by all AWS SDKs and the AWS CLI
* Credentials delivered through the Amazon EC2 container service if
AWS_CONTAINER_CREDENTIALS_RELATIVE_URI" environment variable is set and security manager has permission to access the variable,
* Instance profile credentials delivered through the Amazon EC2 metadata service

NEW QUESTION: 2
Which approach will generate automated security alerts should too many unauthorized AWS API requests
be identified?
A. Run an Amazon Athena SQL query against CloudTrail log files. Use Amazon QuickSight to create an
operational dashboard.
B. Use the Amazon Personal Health Dashboard to monitor the account's use of AWS services, and raise
an alert if service error rates increase.
C. Configure AWS CloudTrail to stream event data to Amazon Kinesis. Configure an AWS Lambda
function on the stream to alarm when the threshold has been exceeded.
D. Create an Amazon CloudWatch metric filter that looks for API call error codes and then implement an
alarm based on that metric's rate.
Answer: A

NEW QUESTION: 3
A company has an Active Directory Domain Services (AD DS) domain with one physical domain controller.
All client computers run Windows 10 Enterprise.
A client computer hosts a Windows 10 Enterprise virtual machine (VM) test environment. The VMs are connected to a private virtual switch that is configured as shown in the Virtual Switch Manager exhibit.

The VMs are unable to connect to the domain controller. You have the following requirements:
Configure the test environment to allow VMs to communicate with the domain controller.

Ensure that the VMs can communicate with other VMs in the test environment when the domain

controller is unavailable.
You need to meet the requirements.
What should you do first?
A. Create a new virtual switch with an Internal Network connection type.
B. Create a new virtual switch with an External Network connection type.
C. Change the connection type of the private virtual switch to Internal only.
D. Create a new virtual switch with a Private Network connection type.
Answer: B

NEW QUESTION: 4
組織は、脅威を軽減するために脆弱性評価を実行しています。侵入テスト担当者のJamesは、組織のマシンで見つかったプロトコルのインベントリを作成して組織をスキャンし、電子メールサーバー、Webサーバー、データベースサーバーなどのサービスに接続されているポートを検出しました。サービスを特定した後、彼は各マシンの脆弱性を選択し、関連するテストのみの実行を開始しました。上記のシナリオでJamesが採用した脆弱性評価ソリューションのタイプは何ですか？
A. 製品ベースのソリューション
B. ツリーベースの評価
C. サービスベースのソリューション
D. 推論ベースの評価
Answer: D
Explanation:
As systems approaches to the event of biological models become more mature, attention is increasingly that specialize in the matter of inferring parameter values within those models from experimental data. However, particularly for nonlinear models, it's not obvious, either from inspection of the model or from the experimental data, that the inverse problem of parameter fitting will have a singular solution, or maybe a non-unique solution that constrains the parameters to lie within a plausible physiological range. Where parameters can't be constrained they're termed 'unidentifiable'. We specialise in gaining insight into the causes of unidentifiability using inference-based methods, and compare a recently developed measure-theoretic approach to inverse sensitivity analysis to the favored Markov chain Monte Carlo and approximate Bayesian computation techniques for Bayesian inference. All three approaches map the uncertainty in quantities of interest within the output space to the probability of sets of parameters within the input space. The geometry of those sets demonstrates how unidentifiability are often caused by parameter compensation and provides an intuitive approach to inference-based experimental design.

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