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NEW QUESTION: 1
질문에 대답하려면 아래 정보를 참조하십시오.
보안 전문가는 조직의 네트워크에서 클라이언트 기반 공격을 탐지합니다. 이러한 문제를 해결하기 위한 계획이 필요합니다.
계획에서 향후 내부 클라이언트 기반 공격을 완화하기 위한 최선의 방법은 무엇입니까?
A. 주변에서 모든 클라이언트 측 웹 익스플로잇을 차단합니다.
B. 배포 전에 클라이언트 이미지를 강화하십시오.
C. 네트워크에서 필수적이지 않은 클라이언트 측 웹 서비스를 모두 제거하십시오.
D. 구현하기 전에 클라이언트 측 서비스의 악용 사례를 검사합니다.
Answer: B

NEW QUESTION: 2
In a Campus AP deployment, an access point has been provisioned statically with an IP address, subnet
mask, default gateway and Controller IP address. Control Plane Security has been disabled. Both the
Controller and the Access Point are using 6.1 firmware. If a 3rd party firewall is placed in between the AP
and controller, what traffic would need to be allowed for the AP to boot successfully and broadcast
Wireless Networks? (Select two)
A. SNMP
B. GRE
C. PAPI
D. DHCP
E. NTP
Answer: B,C

NEW QUESTION: 3
社内で実行されるレガシーアプリケーションでは、ソリューションアーキテクトがファイアウォールを開いて複数のAmazon S3バケットへのアクセスを許可できる必要があります。アーキテクトには、AWSへのVPN接続があります。
アーキテクトはこの要件を満たす必要がありますか？
A. 顧客のゲートウェイでIPホワイトリストを構成します。
B. 企業ネットワークからAmazon S3へのアクセスを許可する1AMロールを作成します。
C. Amazon EC2でプロキシを設定し、Amazon S3 VPCエンドポイントを使用します。
D. Amazon API Gatewayを使用してIPホワイトリストを作成します。
Answer: D

NEW QUESTION: 4
Azure Machine Learningを使用して、モデルをトレーニングおよび登録します。
IT部門がAzureMachine Learningワークスペースで作成したservice-computeという名前の推論クラスターに、リアルタイムWebサービスとしてモデルを本番環境にデプロイする必要があります。
デプロイされたWebサービスを使用するクライアントアプリケーションは、Azure ActiveDirectoryサービスプリンシパルに基づいて認証される必要があります。
Azure Machine LearningSDKを使用してモデルをデプロイするスクリプトを作成する必要があります。必要なモジュールがインポートされました。
コードをどのように完成させる必要がありますか？回答するには、回答領域で適切なオプションを選択します。
注：正しい選択はそれぞれ1ポイントの価値があります。

Answer:
Explanation:

Explanation:
Box 1: AksCompute
Example:
aks_target = AksCompute(ws,"myaks")
# If deploying to a cluster configured for dev/test, ensure that it was created with enough
# cores and memory to handle this deployment configuration. Note that memory is also used by
# things such as dependencies and AML components.
deployment_config = AksWebservice.deploy_configuration(cpu_cores = 1, memory_gb = 1) service = Model.deploy(ws, "myservice", [model], inference_config, deployment_config, aks_target) Box 2: AksWebservice Box 3: token_auth_enabled=Yes Whether or not token auth is enabled for the Webservice.
Note: A Service principal defined in Azure Active Directory (Azure AD) can act as a principal on which authentication and authorization policies can be enforced in Azure Databricks.
The Azure Active Directory Authentication Library (ADAL) can be used to programmatically get an Azure AD access token for a user.
Incorrect Answers:
auth_enabled (bool): Whether or not to enable key auth for this Webservice. Defaults to True.
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/how-to-deploy-azure-kubernetes-service
https://docs.microsoft.com/en-us/azure/databricks/dev-tools/api/latest/aad/service-prin-aad-token