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NEW QUESTION: 1
In regards to Terraform state file, select all the statements below which are correct?
A. Storing state remotely can provide better security.
B. The Terraform state can contain sensitive data, therefore the state file should be protected from unauthorized access.
C. When using local state, the state file is stored in plain-text.
D. The state file is always encrypted at rest.
E. Terraform Cloud always encrypts state at rest.
F. Using the mask feature, you can instruct Terraform to mask sensitive data in the state file.
Answer: A,B,C,E
Explanation:
Explanation
Terraform state can contain sensitive data, depending on the resources in use and your definition of
"sensitive." The state contains resource IDs and all resource attributes. For resources such as databases, this may contain initial passwords.
When using local state, state is stored in plain-text JSON files.
When using remote state, state is only ever held in memory when used by Terraform. It may be encrypted at rest, but this depends on the specific remote state backend.
Storing Terraform state remotely can provide better security. As of Terraform 0.9, Terraform does not persist state to the local disk when remote state is in use, and some backends can be configured to encrypt the state data at rest.
Recommendations
If you manage any sensitive data with Terraform (like database passwords, user passwords, or private keys), treat the state itself as sensitive data.
Storing state remotely can provide better security. As of Terraform 0.9, Terraform does not persist state to the local disk when remote state is in use, and some backends can be configured to encrypt the state data at rest.
For example:
* Terraform Cloud always encrypts state at rest and protects it with TLS in transit. Terraform Cloud also knows the identity of the user requesting state and maintains a history of state changes. This can be used to control access and track activity. Terraform Enterprise also supports detailed audit logging.
* The S3 backend supports encryption at rest when the encrypt option is enabled. IAM policies and logging can be used to identify any invalid access. Requests for the state go over a TLS connection.
NEW QUESTION: 2
회사는 S3 버킷에서 중요한 데이터를 호스팅합니다. 버킷에 적절한 권한을 할당했지만 여전히 데이터 삭제가 걱정됩니다. 버킷에서 데이터 삭제 위험을 제한하기 위해 취할 수 있는 조치 아래의 옵션 중에서 2 개의 답변을 선택하십시오. 선택하십시오 :
A. 버킷 정책에서 MFA 삭제 활성화
B. 버킷의 객체에 대해 전송중인 데이터를 활성화합니다
C. S3 버킷에서 버전 관리 활성화
D. 버킷의 객체에 대해 유휴 데이터 사용
Answer: A,C
Explanation:
설명
AWS 보안 블로그 중 하나가 followinj를 언급합니다.
버전 관리는 여러 버전의 객체를 동일한 버킷에 유지합니다. 버킷에서 활성화하면 Amazon S3가 버킷에 저장된 모든 객체에 고유 버전 ID를 자동으로 추가합니다. 이 시점에서 간단한 DELETE 조치는 오브젝트 버전을 영구적으로 삭제하지 않습니다. 삭제 마커를 오브젝트와 연관시키기 만합니다. 오브젝트 버전을 영구적으로 삭제하려면 DELETE 요청에 해당 버전 ID를 지정해야 합니다.
버전이 지정된 버킷에서 MFA 삭제를 활성화하여 다른 보호 계층을 추가 할 수 있습니다. 그렇게 하면 객체 버전을 영구적으로 삭제하거나 버킷에서 버전 관리를 일시 중지하거나 다시 활성화하려면 AWS MAM 디바이스에서 AWS 계정 액세스 키와 유효한 코드를 제공해야 합니다.
암호화를 활성화해도 데이터 삭제 위험이 보장되지 않으므로 옵션 B는 유효하지 않습니다.
이 옵션은 데이터 삭제 위험을 보장하지 않으므로 옵션 D는 유효하지 않습니다.
AWS S3 버전 관리 및 MFA에 대한 자세한 내용은 아래 URL을 참조하십시오.
https://aws.amazon.com/blogs/security/securing-access-to-aws-using-mfa-part-3/
정답은 다음과 같습니다. S3 버킷에서 버전 관리 사용 버킷 정책에서 MFA 삭제 사용 전문가에게 피드백 / 질문 제출
NEW QUESTION: 3
Which of the following is not a basic component of a good design?
A. Vision
B. Assumptions
C. Conceptual design
D. Scope
Answer: C
Explanation:
The basic components of a good design are vision, scope, requirements, constraints, assumptions, and risks.
NEW QUESTION: 4
Which statement adds a column called SALARY to the EMPLOYEES table having 100 rows, which cannot contain null?
A. ALTER TABLE EMPLOYEESADD SALARY NUMBER(8,2) DEFAULT 0 NOT NULL;
B. ALTER TABLE EMPLOYEESADD SALARY NUMBER(8,2) NOT NULL;
C. ALTER TABLE EMPLOYEESADD SALARY NUMBER(8,2) DEFAULT CONSTRAINT p_nn NOT NULL;
D. ALTER TABLE EMPLOYEESADD SALARY NUMBER(8,2) DEFAULT NOT NULL;
Answer: A