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NEW QUESTION: 1
다음 중 세분성에 대해 설명하는 것은 어느 것입니까?
A. 위반 횟수를 총 액세스 수로 나눈 값
B. 액세스 제어 목록 (ACL)에서 사용할 수있는 최대 항목 수
C. 신뢰할 수있는 시스템이 사용자를 인증할수 있는 정밀성
D. 출입 통제 시스템을 조정할 수있는 섬세함
Answer: D
NEW QUESTION: 2
Ein Projekt arbeitet an einem Fabrikbauprojekt in einem ländlichen Gebiet
ein. Die erforderlichen Umweltgenehmigungen sind noch nicht eingegangen. Der für das Projekt wichtige Auftragnehmer ist vor dem geplanten Zeitpunkt vor Ort und stellt die Standzeitkosten in Rechnung. Was soll der Projektmanager tun?
A. Senden Sie den Schutzplan mit den abgelehnten Rechnungen an den Auftragnehmer
B. Genehmigen Sie die Rechnungen, um den Auftragnehmer zu beschwichtigen
C. Informieren Sie das Management und die Stakeholder
D. Bewerten Sie die Auswirkungen der verspäteten Umweltfreigaben
Answer: B
NEW QUESTION: 3
A web server is hosted in the DMZ and the server is configured to listen for incoming connections on TCP
port 443. A Security policies rules allowing access from the Trust zone to the DMZ zone needs to be
configured to allow web-browsing access. The web server hosts its contents over HTTP(S). Traffic from
Trust to DMZ is being decrypted with a Forward Proxy rule.
Which combination of service and application, and order of Security policy rules, needs to be configured to
allow cleartext web-browsing traffic to this server on tcp/443?
A. Rule #1: application: web-browsing; service: application-default; action: allow
Rule #2: application: ssl; service: application-default; action: allow
B. Rule #1: application: web-browsing; service: service-http; action: allow
Rule #2: application: ssl; service: application-default; action: allow
C. Rule # 1: application: ssl; service: application-default; action: allow
Rule #2: application: web-browsing; service: application-default; action: allow
D. Rule #1: application: web-browsing; service: service-https; action: allow
Rule #2: application: ssl; service: application-default; action: allow
Answer: A
NEW QUESTION: 4
A retail company intends to use machine learning to categorize new products A labeled dataset of current products was provided to the Data Science team The dataset includes 1 200 products The labeled dataset has
15 features for each product such as title dimensions, weight, and price Each product is labeled as belonging to one of six categories such as books, games, electronics, and movies.
Which model should be used for categorizing new products using the provided dataset for training?
A. An XGBoost model where the objective parameter is set to multi: softmax
B. A DeepAR forecasting model based on a recurrent neural network (RNN)
C. A regression forest where the number of trees is set equal to the number of product categories
D. A deep convolutional neural network (CNN) with a softmax activation function for the last layer
Answer: D