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NEW QUESTION: 1
You are setting up a Windows VM on Compute Engine and want to make sure you can log in to the VM via RDP. What should you do?
A. After the VM has been created, use gcloud compute reset-windows-password to retrieve the login credentials for the VM.
B. When creating the VM, add metadata to the instance using `windows-password' as the key and a password as the value.
C. After the VM has been created, use your Google Account credentials to log in into the VM.
D. After the VM has been created, download the JSON private key for the default Compute Engine service account. Use the credentials in the JSON file to log in to the VM.
Answer: A
Explanation:
https://cloud.google.com/sdk/gcloud/reference/beta/compute/reset-windows-password
NEW QUESTION: 2
HOTSPOT
You plan to deploy two new Microsoft Azure SQL Database instances. Once instance will support a data entry application. The other instance will support the company's business intelligence efforts. The databases will be accessed by mobile applications from public IP addresses.
You need to ensure that the database instances meet the following requirements:
The database administration team must receive alerts for any suspicious activity in the data entry
database, including potential SQL injection attacks.
Executives around the world must have access to the business intelligence application.
Sensitive data must never be transmitted. Sensitive data must not be stored in plain text in the
database.
In the table below, identify the feature that you must implement for each database.
NOTE: Make only one selection in each column. Each correct selection is work one point.
Hot Area:
Answer:
Explanation:
Explanation/Reference:
Explanation:
Data entry: Threat Detection
SQL Threat Detection provides a new layer of security, which enables customers to detect and respond to potential threats as they occur by providing security alerts on anomalous activities. Users receive an alert upon suspicious database activities, potential vulnerabilities, and SQL injection attacks, as well as anomalous database access patterns.
Business intelligence: Dynamic Data Masking
Dynamic data masking limits (DDM) sensitive data exposure by masking it to non-privileged users. It can be used to greatly simplify the design and coding of security in your application.
References:
https://docs.microsoft.com/en-us/azure/sql-database/sql-database-threat-detection
https://docs.microsoft.com/en-us/sql/relational-databases/security/dynamic-data-masking
NEW QUESTION: 3
회사는 컨테이너에 응용 프로그램을 구축하고 있습니다. 회사는 온 프레미스 개발 및 운영 서비스를 온 프레미스 데이터 센터에서 AWS로 마이그레이션하려고합니다. 경영진은 프로덕션 시스템이 클라우드에 구애받지 않아야 하며 프로덕션 시스템에서 동일한 구성 및 관리자 도구를 사용해야 한다고 말합니다. 솔루션 아키텍트는 오픈 소스 소프트웨어와 일치하는 관리 형 솔루션을 설계해야 합니다.
어떤 솔루션이 이러한 요구 사항을 충족합니까?
A. EC2 인스턴스 작업자 노드가있는 Amazon EC2에서 컨테이너를 시작합니다.
B. AWS Fargate 인스턴스를 사용하여 Amazon Elastic Containers 서비스 (Amazon ECS)에서 컨테이너를 시작합니다.
C. Amazon EC2 인스턴스 작업자 노드가있는 Amazon Elastic Container Service (Amazon EC)에서 컨테이너를 시작합니다.
D. Amazon Elastic Kubernetes Service (Amazon EKS) 및 EKS 작업자 노드에서 컨테이너를 시작합니다.
Answer: B