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NEW QUESTION: 1
회사는 내부 브라우저 기반 애플리케이션을 실행합니다. 애플리케이션은 Application Load Balancer 뒤의 Amazon EC2 인스턴스에서 실행됩니다. 인스턴스는 여러 가용 영역에 걸쳐 Amazon EC2 Auto Scaling 그룹에서 실행됩니다. Auto Scaling 그룹은 작업 시간 동안 최대 20 개의 인스턴스로 확장되지만 확장 가능합니다. 하룻밤까지 2 번까지 줄어드는 직원들은 오전 중반까지는 잘 운영되지만 하루가 시작될 때 애플리케이션이 매우 느리다고 불평합니다.
직원 불만을 해결하고 비용을 최소화하기 위해 확장을 어떻게 변경해야 합니까?
A. 낮은 CPU 임계 값에서 트리거 된 대상 추적 작업을 구현하고 휴지 기간을 줄입니다.
B. 사무실을 개설하기 직전에 원하는 용량을 20으로 설정하는 예약 된 조치를 구현하십시오.
C. 사무실을 개설하기 직전에 최소 및 최대 용량을 20으로 설정하는 예약 된 작업을 구현합니다.
D. 낮은 CPU 임계 값에서 트리거 된 단계 조정 조치를 구현하고 냉각 기간을 줄입니다.
Answer: B
NEW QUESTION: 2
(i) In general a person is assumed to know of a clause of which he has been given reasonable notice at or before the time of the contract.
(ii) In general a person cannot rely on a clause brought to the other party's attention after the contract has been concluded.
(iii) In general a person cannot be bound by a clause written in small print.
Choose one of the following.
A. Only (i) and (ii) are correct.
B. Only (i) and (iii) are correct.
C. Only (ii) and (iii) are correct.
D. (i), (ii) and (iii) are correct.
Answer: A
NEW QUESTION: 3
A large company has a central data lake to run analytics across different departments. Each department uses a separate AWS account and stores its data in an Amazon S3 bucket in that account. Each AWS account uses the AWS Glue Data Catalog as its data catalog. There are different data lake access requirements based on roles. Associate analysts should only have read access to their departmental data. Senior data analysts can have access in multiple departments including theirs, but for a subset of columns only.
Which solution achieves these required access patterns to minimize costs and administrative tasks?
A. Set up an individual AWS account for the central data lake. Use AWS Lake Formation to catalog the cross- account locations. On each individual S3 bucket, modify the bucket policy to grant S3 permissions to the Lake Formation service-linked role. Use Lake Formation permissions to add fine-grained access controls to allow senior analysts to view specific tables and columns.
B. Consolidate all AWS accounts into one account. Create different S3 buckets for each department and move all the data from every account to the central data lake account. Migrate the individual data catalogs into a central data catalog and apply fine-grained permissions to give to each user the required access to tables and databases in AWS Glue and Amazon S3.
C. Set up an individual AWS account for the central data lake and configure a central S3 bucket. Use an AWS Lake Formation blueprint to move the data from the various buckets into the central S3 bucket.
On each individual bucket, modify the bucket policy to grant S3 permissions to the Lake Formation service-linked role. Use Lake Formation permissions to add fine-grained access controls for both associate and senior analysts to view specific tables and columns.
D. Keep the account structure and the individual AWS Glue catalogs on each account. Add a central data lake account and use AWS Glue to catalog data from various accounts. Configure cross-account access for AWS Glue crawlers to scan the data in each departmental S3 bucket to identify the schema and populate the catalog. Add the senior data analysts into the central account and apply highly detailed access controls in the Data Catalog and Amazon S3.
Answer: D
NEW QUESTION: 4
Which of the following does NOT consist of collaboration from various organizations to drive innovation and standardization across big data technologies?
A. Cloudera Enterprise
B. Pivotal Big Data Suite
C. Hortonworks Data Platform
D. IBM BigInsights
Answer: D
Explanation:
Reference:
http://www-01.ibm.com/software/data/bigdata/business-partner.html