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NEW QUESTION: 1
An ecommerce company has noticed performance degradation of its Amazon RDS based web application. The performance degradation is attribute to an increase in the number of read-only SQL queries triggered by business analysts. A solution architect needs to solve the problem with minimal changes to the existing web application.
What should the solution architect recommend?
A. Export the data to Amazon DynamoDB and have the business analysts run their queries.
B. Create a read replica of the primary database and have the business analysts run their queries.
C. Copy the data into an Amazon Redshift cluster and have the business analysts run their queries.
D. Load the data into Amazon ElasticCache and have the business analysts run their queries.
Answer: B

NEW QUESTION: 2
What are the primary components of OpenShift Container Platform logging?
A. collectd, Elasticsearch, Graphite
B. Fluentd, Solr, Grafana
C. Logstash, Log fusion, Grafana
D. Fluentd, Elasticsearch, Kibana
Answer: D
Explanation:
Explanation
https://docs.openshift.com/container-platform/4.5/logging/cluster-logging.html The major components of cluster logging are:
* collection - This is the component that collects logs from the cluster, formats them, and forwards them to the log store. The current implementation is Fluentd.
* log store - This is where the logs are stored. The default implementation is Elasticsearch. You can use the default Elasticsearch log store or forward logs to external log stores. The default log store is optimized and tested for short-term storage.
* visualization - This is the UI component you can use to view logs, graphs, charts, and so forth. The current implementation is Kibana.

NEW QUESTION: 3
Amazon Rekognition을 사용하면 어떤 시간 절약 이점이 있습니까?
A. Amazon Rekognition은 사진에 근접한 객체를 자동 감지합니다.
B. Amazon Recognition은 수백만 개의 이미지 크기를 자동으로 조정할 수 있는 기능을 제공합니다
C. Amazon Rekognition은 이미지의 자동 워터 마킹을 제공합니다
D. Amazon Rekognition은 Amazon Mechanical Turk를 사용하여 사람이 객체 감지 작업에 입찰할 수 있도록 합니다.
Answer: A