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NEW QUESTION: 1
Which of the following statements are true about security risks? (Choose three)
A. They can be removed completely by taking proper actions.
B. They are considered an indicator of threats coupled with vulnerability.
C. They can be mitigated by reviewing and taking responsible actions based on possible risks.
D. They can be analyzed and measured by the risk analysis process.
Answer: B,C,D
Explanation:
In information security, security risks are considered an indicator of threats coupled with vulnerability. In other words, security risk is a probabilistic function of a given threat agent exercising a particular vulnerability and the impact of that risk on the organization. Security risks can be mitigated by reviewing and taking responsible actions based on possible risks. These risks can be analyzed and measured by the risk analysis process.
Answer A is incorrect. Security risks can never be removed completely but can be mitigated by taking proper actions.
NEW QUESTION: 2
Which of the following are detail level settings that display fill patterns of compound walls?
A. Wireframe
B. Medium
C. Fine
D. Silhouette
Answer: B,C
NEW QUESTION: 3
DynamoDB 테이블의 LSI는 언제든지 추가 할 수 있습니다.
정답을 선택하십시오.
A. True
B. 거짓
Answer: B
Explanation:
Local secondary indexes are created at the same time that you create a table. You cannot add a local secondary index to an existing table, nor can you delete any local secondary indexes that currently exist.
Reference:
http://docs.aws.amazon.com/amazondynamodb/latest/developerguide/SecondaryIndexes.html
NEW QUESTION: 4
DB1という名前のAzureSQLデータベースがあります。
DB1のデータセキュリティソリューションを推奨する必要があります。ソリューションは次の要件を満たしている必要があります。
*ヘルプデスクスーパーバイザーがDS1を照会する場合。彼らは各クレジットカードの完全な番号を見る必要があります。
*ヘルプデスクオペレーターがDB1を照会する場合。各クレジットカード番号の下4桁のみを表示する必要があります
* Credit Ratingという名前の列は、データベースシステム内でプレーンテキストで表示されてはならず、クライアントアプリケーションのみがCreditRating列を復号化できる必要があります。
推奨事項に何を含め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: Dynamic data masking
Dynamic data masking helps prevent unauthorized access to sensitive data by enabling customers to designate how much of the sensitive data to reveal with minimal impact on the application layer. It's a policy-based security feature that hides the sensitive data in the result set of a query over designated database fields, while the data in the database is not changed.
Box 2: Always encrypted
Data stored in the database is protected even if the entire machine is compromised, for example by malware.
Always Encrypted leverages client-side encryption: a database driver inside an application transparently encrypts data, before sending the data to the database. Similarly, the driver decrypts encrypted data retrieved in query results.
Reference:
https://azure.microsoft.com/en-us/blog/transparent-data-encryption-or-always-encrypted/