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NEW QUESTION: 1
組織の運用は、データ損失をもたらすサイバー攻撃の影響を大きく受けています。攻撃が封じ込められたら、セキュリティチームは何をすべきか。
A. 根本原因分析を実行します。
B. インシデント対応計画を更新します。
C. 学んだ教訓の演習を実施します。
D. 補正コントロールを実装します。
Answer: A
NEW QUESTION: 2
A company has a Microsoft Azure SQL Database instance that uses dynamic data masking.
You observe that numeric fields contain whole integers as masked data.
You need to display a zero value for numeric fields.
What is the current masking function and which masking function should you use? To answer, select the appropriate options in the answer area.
NOTE; Each correct selection is worth one point.
Answer:
Explanation:
Box 1: Random
A random masking function for use on any numeric type to mask the original value with a random value within a specified range.
Box 2: Default
Full masking according to the data types of the designated fields. For numeric data types use a zero value.
References:
https://docs.microsoft.com/en-us/sql/relational-databases/security/dynamic-data-masking?view=sql-server-2017
NEW QUESTION: 3
Given the following SAS data set ONE:
ONE JOB LEVEL SALARY ACC 2 300 SEC 1 100 SEC 2 200 MGR 3 700 ACC 1 . ACC 3 . MGR 2 400 The following SAS data set TWO is created: TWO JOB LEVEL BONUS ACC 2 30 MGR 3 70 MGR 2 40
Which one of the following SAS programs creates data set TWO?
A. proc sql;
create table two as
select job, level, salary * 0.1 as bonus
from one
where salary > 20;
quit;
B. proc sql;
create table two as
select job, level, salary * 0.1 as bonus
from one
where calculated salary * 0.1 > 20;
quit;
C. proc sql; create table two as
select job, level, salary * 0.1 as bonus
from one
where bonus > 20;
quit;
D. proc sql;proc sql;
create table two as
select job, level, salary * 0.1 as bonus
from one
where calculated bonus > 20;
quit;
Answer: D
NEW QUESTION: 4
A company collects temperature, humidity, and atmospheric pressure data in cities across multiple continents. The average volume of data collected per site each day is 500 GB. Each site has a high-speed internet connection. The company's weather forecasting applications are based in a single Region and analyze the data daily.
What is the FASTEST way to aggregate data for all of these global sites?
A. Upload site data to an Amazon S3 bucket in the closest AWS Region. Use S3 cross-Region replication to copy objects to the destination bucket.
B. Enable Amazon S3 Transfer Acceleration on the destination bucket. Use multipart uploads to directly upload site data to the destination bucket.
C. Upload site data to an Amazon S3 bucket in the closest AWS Region. Use S3 cross-Region replication to copy objects to the destination bucket.
D. Upload the data to an Amazon EC2 instance in the closes Region. Store the data in an Amazon EBS volume. One a day take an EBS snapshot and copy it to the centralize Region. Restore the EBS volume in the centralized Region and run an analysis on the data daily.
Answer: C
Explanation:
Step -1 To transfer to S3 from global sites : Amazon S3 Transfer Acceleration enables fast, easy, and secure transfers of files over long distances between your client and your Amazon S3 bucket. S3 Transfer Acceleration leverages Amazon CloudFront's globally distributed AWS Edge Locations. Used to accelerate object uploads to S3 over long distances (latency). Transfer acceleration is as secure as a direct upload to S3.
Step -2 : When the application analyze/aggregate the data from S3 and then again upload the results - Multipart upload
http://lavnish.blogspot.com/2017/06/aws-s3-cross-region-replication.html
https://aws.amazon.com/s3/transfer-acceleration/