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NEW QUESTION: 1
Scenario
Additional Information
Chief Executive Officer (CEO): He started the company 25 years ago and knows his job very well. He injured his leg two years ago which has restricted his visits to the engineering area. As CEO he has an overall perspective of the business strategic requirements and the authority to commit resources as required.
Marketing Director: She has been with the company for three years, following a successful career with a publicity company. She has the ability to represent the needs of the business, particularly as this is a marketing project. She has the authority to commit the annual business marketing budget, from which the project will be funded, as she sees appropriate. She will be responsible for monitoring the expected benefits of the calendar, in particular the improvement of the company's image.
Engineering Manager: He has been responsible for many engineering innovations in the company and is still as keen and energetic as the day he started. VVhilst he will not be part of the project team, his staff will feature in the photos for the promotional calendar.
Central Records: This group of five staff looks after all company records and document control.
They now maintain all project files.
Bright Lights: This is the local office supplies company. It supplies all the stationery and office equipment needs of the company and will supply the stationery for this project.
Portraits ltd: This is a professional photographic company with a number of excellent photographers and a history of successful work. This company has been selected to take the photos for the company calendar.
It has yet be decided which of the photographers to use.
Which 2 statements explain why the Marketing Director should be appointed as a Senior User for this project?
A. The Marketing department will help to deliver the benefits of this project.
B. The project will be funded from the business marketing budget.
C. A number of the products will be produced by the Sales department and the Marketing department.
D. She previously had a successful career in publicity.
E. She can represent the Marketing department.
Answer: A,E

NEW QUESTION: 2
IAMユーザーの場合、仮想Multi-Factor Authentication（MFA）デバイスは、生成するアプリケーションを使用します
時間ベースのワンタイムパスワード（TOTP）標準と互換性のある______桁の認証コード。
A. 0
B. 1
C. 2
D. 3
Answer: D
Explanation:
説明
仮想MFAデバイスは、時間ベースのワンタイムパスワード（TOTP）標準と互換性のある6桁の認証コードを生成するアプリケーションを使用します。したがって、スマートフォンを仮想MFAデバイスにするために使用するアプリケーションは、標準に準拠する必要があります。
参照：

NEW QUESTION: 3
Suppose you have a dataset of images that are each labeled as to whether or not they contain a human face. To create a neural network that recognizes human faces in images using this labeled dataset, what approach would likely be the most effective?
A. Use deep learning by creating a neural network with multiple hidden layers to automatically detect features of faces.
B. Use K-means Clustering to detect faces in the pixels.
C. Use feature engineering to add features for eyes, noses, and mouths to the input data.
D. Build a neural network with an input layer of pixels, a hidden layer, and an output layer with two categories.
Answer: A
Explanation:
Traditional machine learning relies on shallow nets, composed of one input and one output layer, and at most one hidden layer in between. More than three layers (including input and output) qualifies as "deep" learning. So deep is a strictly defined, technical term that means more than one hidden layer.
In deep-learning networks, each layer of nodes trains on a distinct set of features based on the previous layer's output. The further you advance into the neural net, the more complex the features your nodes can recognize, since they aggregate and recombine features from the previous layer.
A neural network with only one hidden layer would be unable to automatically recognize high-level features of faces, such as eyes, because it wouldn't be able to "build" these features using previous hidden layers that detect low-level features, such as lines. Feature engineering is difficult to perform on raw image data.
K-means Clustering is an unsupervised learning method used to categorize unlabeled data.
Reference: https://deeplearning4j.org/neuralnet-overview

NEW QUESTION: 4
Which of the following SAP Cloud solutions could act as the system of record for quotations?
A. SAP Sales Cloud
B. SAP Marketing Cloud
C. SAP Service Cloud
D. SAP Commerce Cloud
Answer: A