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NEW QUESTION: 1
You create a pipeline in designer to train a model that predicts automobile prices.
Because of non-linear relationships in the data, the pipeline calculates the natural log (Ln) of the prices in the training data, trains a model to predict this natural log of price value, and then calculates the exponential of the scored label to get the predicted price.
The training pipeline is shown in the exhibit. (Click the Training pipeline tab.) Training pipeline
You create a real-time inference pipeline from the training pipeline, as shown in the exhibit. (Click the Real-time pipeline tab.) Real-time pipeline
You need to modify the inference pipeline to ensure that the web service returns the exponential of the scored label as the predicted automobile price and that client applications are not required to include a price value in the input values.
Which three modifications must you make to the inference pipeline? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
A. Connect the output of the Apply SQL Transformation to the Web Service Output module.
B. Remove the Apply Math Operation module that replaces price with its natural log from the data flow.
C. Replace the Web Service Input module with a data input that does not include the price column.
D. Replace the training dataset module with a data input that does not include the price column.
E. Remove the Apply SQL Transformation module from the data flow.
F. Add a Select Columns module before the Score Model module to select all columns other than price.
NEW QUESTION: 2
Which one of the following does not describe the Unified Task List Portlet?
A. It doesn't support IBM WebSphere Process Server.
B. It provides a single point of integration with workflow management systems.
C. It is highly configurable.
D. It aggregates tasks and activities from multiple systems.
NEW QUESTION: 3
회사에서 Amazon API Gateway, AWS Lambda 및 Amazon DynamoDB를 사용하여 서버리스 애플리케이션을 구현하려고합니다. 이들은 개념 증명을 배포하고 평균 응답 시간이 업스트림 서비스가 Amazon CloudWatch 지표를 수락 할 수있는 것보다 크다고 언급했지만 DynamoDB 관련 문제를 나타내지 않았지만 일부 Lambda 기능이 시간 초과되고 있음을 보여주었습니다.
솔루션 아키텍트가 성능 개선을 위해 고려해야 할 다음 조치는 무엇입니까? (2 개를 선택하십시오.)
A. CPU 양을 늘리고 Lambda 함수의 시간 초과를 조정하십시오. Lambda 기능에 대한 이상적인 CPU 및 시간 초과 구성을 식별하기 위한 완벽한 성능 테스트.
B. Memcached를 실행하는 Amazon ElastiCache 클러스터를 생성하고 Amazon ElastiCache 클러스터에 액세스하여 VPC 통합을위한 Lambda 기능을 구성하십시오.
C. Amazon API Gateway의 적절한 단계에서 API 캐시를 활성화하고 전체 단계보다 낮은 TTL이 필요한 개별 방법에 대해 TTL을 재정의하십시오.
D. 불필요한 시작 시간을 피하기 위해 컨테이너를 재사용하도록 AWS Lambda 기능을 구성하십시오.
E. 메모리 양을 늘리고 Lambda 기능의 시간 초과를 조정하십시오. Lambda 기능에 대한 이상적인 메모리 및 시간 초과 구성을 식별하기위한 완벽한 성능 테스트.