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NEW QUESTION: 1
A table in a FileMaker Pro 12 database has a text field CompanyName. The following field validation options are set for this field:
A user imports a set of records into this table. Some records have no value in the CompanyName field. What will occur?
A. All of the records will be imported. No error message will be displayed.
B. All records with a value for CompanyName will be imported. The user will see the specified custom message.
C. The user will see the custom error message, but the import will continue if the user overrides the error.
D. All records with a value for CompanyName will be imported. The user will see an error dialog from the FileMaker Pro application stating that some records could not be imported due to errors, along with a count of those records.
Answer: A
NEW QUESTION: 2
VPC의 AWS 워크로드가 Amazon EC2 인스턴스에서 레거시 데이터베이스를 실행 중입니다. 데이터는 200GB Amazon EBS (gp2) 볼륨에 저장됩니다. 최대로드 시간에 로그에 과도한 대기 시간이 표시됩니다.
영구 스토리지를 사용하여 데이터베이스 성능을 향상 시키려면 어떤 솔루션을 구현해야 합니까?
A. EBS 볼륨의 데이터를 프로비저닝 된 IOPS SSD (io1)로 마이그레이션합니다.
B. EC2 인스턴스 스토어 볼륨이있는 EC2 인스턴스 유형으로 변경하십시오.
C. EC2 인스턴스 유형을 버스트 가능한 성능을 가진 유형으로 변경하십시오.
D. Amazon EBS 볼륨의 데이터를 SSD 지원 볼륨으로 마이그레이션합니다.
Answer: A
Explanation:
설명:
버스트 가능한 성능 인스턴스는 CPU를 더 높은 레벨로 버스트 할 수 있습니다. 그러나이 질문은 영구 저장소를 사용하여 데이터베이스 성능을 개선 할 수있는 솔루션을 요구합니다.
NEW QUESTION: 3
Azure Search 인덱서의 구성을 확인하고 있습니다.
서비스는 데이터 가져 오기 옵션을 사용하는 인덱서로 구성되었습니다. 색인은 색인 구성 전시회에 표시된 옵션을 사용하여 구성됩니다. (인덱스 구성 탭을 클릭하십시오.)
가져 오기 작업의 데이터 소스로 Azure 테이블을 사용합니다. 테이블에는 스토리지 데이터 전시회의 필드와 일치하는 항목 재고 데이터가있는 세 개의 레코드가 있습니다. 이 레코드는 인덱스를 만들 때 가져 왔습니다. (저장소 데이터 탭을 클릭하십시오.) 사용자가 필터없이 검색하면 세 개의 레코드가 모두 표시됩니다.
사용자가 설명별로 항목을 검색하면 검색 탐색기가 레코드를 리턴하지 않습니다. 검색 탐색기 전시회에는 테스트에 대한 쿼리 및 결과가 표시됩니다. 테스트에서 사용자는 bag이라는 단어가 포함 된 설명이있는 테이블의 모든 항목을 검색하려고합니다. (검색 탐색기 탭을 클릭하십시오.)
문제를 해결해야합니다.
다음 각 명령문에 대해 명령문이 참이면 예를 선택하십시오. 그렇지 않으면 아니오를 선택하십시오.
참고 : 각각의 올바른 선택은 1 포인트의 가치가 있습니다.
Answer:
Explanation:
Explanation
Box 1: Yes
The ItemDescription field in not searchable.
Box 2: No
The ItemDescription field in not searchable, but we would need to recreate the index.
Box 3: Yes
An indexer in Azure Search is a crawler that extracts searchable data and metadata from an external Azure data source and populates an index based on field-to-field mappings between the index and your data source.
This approach is sometimes referred to as a 'pull model' because the service pulls data in without you having to write any code that adds data to an index.
Box 4: No
References:
https://docs.microsoft.com/en-us/azure/search/search-what-is-an-index
https://docs.microsoft.com/en-us/azure/search/search-indexer-overview