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NVIDIA-Certified Associate AI Infrastructure and Operations

  • Exam Number/Code : NCA-AIIO
  • Exam Name : NVIDIA-Certified Associate AI Infrastructure and Operations
  • Questions and Answers : 213 Q&As
  • Update Time: 2019-01-10
  • Price: $ 99.00 $ 39.00

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NEW QUESTION: 1
The administrator has added the following whitelist to the WildFire Executable Files policy.
*\mysoftware.exe
What will be the result of this whitelist?
A. mysoftware.exe will be uploaded to WildFire for analysis
B. mysoftware.exe will not be analyzed by WildFire, but only if executed from the C drive.
C. users will not be able to run mysoftware.exe.
D. mysoftware.exe will not be analyzed by WildFire regardless of the file location.
Answer: A

NEW QUESTION: 2
For this question, refer to the TerramEarth case study. To be compliant with European GDPR regulation,
TerramEarth is required to delete data generated from its European customers after a period of 36 months
when it contains personal data. In the new architecture, this data will be stored in both Cloud Storage and
BigQuery. What should you do?
A. Create a BigQuery table for the European data, and set the table retention period to 36 months. For
Cloud Storage, use gsutil to create a SetStorageClass to NONE action when with an Age condition of
36 months.
B. Create a BigQuery time-partitioned table for the European data, and set the partition period to 36
months. For Cloud Storage, use gsutil to create a SetStorageClass to NONE action with an Age
condition of 36 months.
C. Create a BigQuery time-partitioned table for the European data, and set the partition expiration period
to 36 months. For Cloud Storage, use gsutil to enable lifecycle management using a DELETE action
with an Age condition of 36 months.
D. Create a BigQuery table for the European data, and set the table retention period to 36 months. For
Cloud Storage, use gsutil to enable lifecycle management using a DELETE action with an Age
condition of 36 months.
Answer: A

NEW QUESTION: 3
솔루션 설계자는 ECS 클러스터의 일부인 Amazon EC2 인스턴스에서 실행되는 일련의 Amazon Elastic Container Service (Amazon ECS) 작업 유형을 조정하는 솔루션을 설계하고 있습니다. 모든 작업에 대한 출력 및 상태 데이터를 저장해야 합니다. 각 작업에 의해 출력되는 데이터 양은 약 10MB이며 한 번에 수백 개의 작업이 실행될 수 있습니다. 시스템은 고주파 읽기 및 쓰기에 최적화 되어야 합니다. 이전 출력이 보관되고 삭제되므로 스토리지 크기가 1TB를 초과하지 않을 것으로 예상됩니다.
솔루션 아키텍트는 어떤 스토리지 솔루션을 권장해야 합니까?
A. 모든 ECS 클러스터 인스턴스에서 액세스 할 수 있는 Amazon DynamoDB 테이블.
B. 프로비저닝 된 처리량 모드를 사용하는 Amazon Elastic File System (Amazon EFS).
C. 버스 팅 처리량 모드를 사용하는 Amazon Elastic File System (Amazon EFS) 파일 시스템.
D. ECS 클러스터 인스턴스에 마운트 된 Amazon Elastic Block Store (Amazon EBS) 볼륨.
Answer: C