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NEW QUESTION: 1
Examine the create table statements for the stores and sales tables.
SQL> CREATE TABLE stores(store_id NUMBER(4) CONSTRAINT store_id_pk PRIMARY KEY, store_name VARCHAR2(12), store_address VARCHAR2(20), start_date DATE); SQL> CREATE TABLE sales(sales_id NUMBER(4) CONSTRAINT sales_id_pk PRIMARY
KEY, item_id NUMBER(4), quantity NUMBER(10), sales_date DATE, store_id NUMBER(4), CONSTRAINT store_id_fk FOREIGN KEY(store_id) REFERENCES stores(store_id));
You executed the following statement:
SQL> DELETE from stores
WHERE store_id=900;
The statement fails due to the integrity constraint error:
ORA-02292: integrity constraint (HR.STORE_ID_FK) violated
Which three options ensure that the statement will execute successfully?
A. Disable the FOREIGN KEY in SALES table and then delete the rows.
B. Create the foreign key in the SALES table on SALES_ID column with on DELETE CASCADE option.
C. DELETE the rows with STORE_ID = 900 from the SALES table and then delete rows from STORES table.
D. Disable the primary key in the STORES table.
E. Use CASCADE keyword with DELETE statement.
Answer: A,C,D
NEW QUESTION: 2
Which list of characteristics must all controllers in a mobility group have in common based on best practices?
A. mobility group name, version of controller code, Control and Provisioning of Wireless Access Points mode,ACLs, and WLANs (SSIDs)
B. mobility domain name, version of controller code, Control and Provisioning of Wireless Access Pointsmode, ACLs, and WLANs (SSIDs)
C. mobility group name, version of controller code, and Control and Provisioning of Wireless Access Pointsmode
D. mobility domain name, version of controller code, and Control and Provisioning of Wireless Access Pointsmode
Answer: A
NEW QUESTION: 3
온라인 사진 앨범 앱에는 고품질 화면이있는 여러 화면 (예 : 데스크톱, 휴대 전화 및 태블릿)을 지원하는 주요 디자인 기능이 있습니다. 여러 버전의 이미지는 다른 해상도와 레이아웃으로 저장해야합니다.
이미지 처리 Java 프로그램은 이미지 크기 및 형식에 따라 업로드 당 평균 5 초가 소요됩니다. 각 이미지 업로드는 사용자, 앨범, 사진 레이블, 업로드 타임 스탬프와 같은 이미지 메타 데이터를 캡처합니다. 앱에서 다음 요구 사항을 지원해야 합니다.
- 초당 수백 개의 사용자 이미지 업로드
- 최대 이미지 메타 데이터 크기는 10MB입니다.
- 최대 이미지 메타 데이터 크기는 1KB
- 이미지 업로드 후 1 분 이내에 지원되는 모든 화면에서 최적화 된 해상도로 이미지가 표시됩니다 이러한 요구 사항을 충족시키는 데 사용해야 하는 전략은 무엇입니까?
A. BLOB 데이터 형식으로 이미지 및 메타 데이터 RDS를 작성합니다. AWS Data Pipeline을 사용하여 이미지 처리를 실행하고 이미지 출력을 Amazon S3에 저장하고 메타 데이터를 앱 저장소 DB에 저장합니다.
B. Amazon Kinesis에 이미지 및 메타 데이터 쓰기, Kinesis 클라이언트 라이브러리 (KCL) 응용 프로그램을 사용하여 이미지 처리를 실행하고 이미지 출력을 Amazon S3에 저장하고 응용 프로그램 저장소 DB에 저장
C. Amazon kinesis에 이미지와 메타 데이터를 씁니다. Spark Streaming과 함께 Amazon Elastic MapReduce (EMR)를 사용하여 이미지 처리를 실행하고 이미지 출력을 Amazon에 저장하십시오.
D. 메타 데이터가있는 이미지를 Amazon S3에 업로드하면 Lambda 함수를 사용하여 이미지 처리를 실행하고 이미지 출력을 Amazon S3에 저장하고 메타 데이터를 앱 저장소 DB에 저장합니다
Answer: D
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