你在煩惱什麼呢?是因為Amazon的MLS-C01認證考試而煩惱嗎?確實,MLS-C01考試是一門很難通過的考試。但是你也不用過分擔心。只要你利用了適當的方法,輕鬆地通過考試也不是不可能的。那麼你知道什麼是適當的方法嗎?使用Fast2test的MLS-C01資料就是一種最好不過的方法。Fast2test一直以來幫助了很多參加IT認定考試的考生,並且得到了大家的一致好評。這個資料可以保證你一次通過考試,請放心使用。

Amazon MLS-C01 考試大綱:

主題簡介
主題 1
  • Deploy And Operationalize Machine Learning Solutions
  • Identify And Implement A Data-Ingestion Solution
主題 2
  • Apply Basic AWS Security Practices To Machine Learning Solutions
主題 3
  • Select The Appropriate Model(S) For A Given Machine Learning Problem
主題 4
  • Identify And Implement A Data-Transformation Solution
  • Perform Feature Engineering
主題 5
  • Build Machine Learning Solutions For Performance, Availability, Scalability, Resiliency, And Fault Tolerance
主題 6
  • Frame Business Problems As Machine Learning Problems
  • Machine Learning Implementation And Operations
主題 7
  • Exploratory Data Analysis2.1Sanitize And Prepare Data For Modeling

>> MLS-C01考題免費下載 <<

最近更新的MLS-C01考題免費下載 & Amazon MLS-C01真題:AWS Certified Machine Learning - Specialty確認通過

MLS-C01資格認證考試是非常熱門的一項考試,雖然很難通過,但是你只要找准了切入點,考試合格並不是什麼難題。Fast2test就是你最好的選擇。Fast2test命中率高達100%的資料,可以幫你解決MLS-C01考試上的任何難題,只要你認真學習資料上的問題,相信一切難題都可以迎刃而解,你購買了考古題以後還可以得到一年的免費更新服務,一年之內,只要你想更新你擁有的資料,那麼你就可以得到最新版。快點來體驗一下吧。

最新的 AWS Certified Specialty MLS-C01 免費考試真題 (Q79-Q84):

問題 #79
An office security agency conducted a successful pilot using 100 cameras installed at key locations within the main office. Images from the cameras were uploaded to Amazon S3 and tagged using Amazon Rekognition, and the results were stored in Amazon ES. The agency is now looking to expand the pilot into a full production system using thousands of video cameras in its office locations globally. The goal is to identify activities performed by non-employees in real time Which solution should the agency consider?

  • A. Install AWS DeepLens cameras and use the DeepLens_Kinesis_Video module to stream video to Amazon Kinesis Video Streams for each camera. On each stream, run an AWS Lambda function to capture image fragments and then call Amazon Rekognition Image to detect faces from a collection of known employees, and alert when non-employees are detected.
  • B. Use a proxy server at each local office and for each camera, and stream the RTSP feed to a unique Amazon Kinesis Video Streams video stream. On each stream, use Amazon Rekognition Video and create a stream processor to detect faces from a collection of known employees, and alert when non-employees are detected.
  • C. Use a proxy server at each local office and for each camera, and stream the RTSP feed to a unique Amazon Kinesis Video Streams video stream. On each stream, use Amazon Rekognition Image to detect faces from a collection of known employees and alert when non-employees are detected.
  • D. Install AWS DeepLens cameras and use the DeepLens_Kinesis_Video module to stream video to Amazon Kinesis Video Streams for each camera. On each stream, use Amazon Rekognition Video and create a stream processor to detect faces from a collection on each stream, and alert when non-employees are detected.

答案:D

解題說明:
https://aws.amazon.com/blogs/machine-learning/video-analytics-in-the-cloud-and-at-the-edge- with-aws-deeplens-and-kinesis-video-streams/


問題 #80
A Machine Learning Specialist is designing a system for improving sales for a company. The objective is to use the large amount of information the company has on users' behavior and product preferences to predict which products users would like based on the users' similarity to other users.
What should the Specialist do to meet this objective?

  • A. Build a collaborative filtering recommendation engine with Apache Spark ML on Amazon EMR.
  • B. Build a model-based filtering recommendation engine with Apache Spark ML on Amazon EMR.
  • C. Build a content-based filtering recommendation engine with Apache Spark ML on Amazon EMR.
  • D. Build a combinative filtering recommendation engine with Apache Spark ML on Amazon EMR.

答案:A

解題說明:
Explanation
Many developers want to implement the famous Amazon model that was used to power the "People who bought this also bought these items" feature on Amazon.com. This model is based on a method called Collaborative Filtering. It takes items such as movies, books, and products that were rated highly by a set of users and recommending them to other users who also gave them high ratings. This method works well in domains where explicit ratings or implicit user actions can be gathered and analyzed.


問題 #81
This graph shows the training and validation loss against the epochs for a neural network The network being trained is as follows
* Two dense layers one output neuron
* 100 neurons in each layer
* 100 epochs
* Random initialization of weights
MLS-C01-e923d9490fbca19f1abe7a2374230e38.jpg
Which technique can be used to improve model performance in terms of accuracy in the validation set?

  • A. Increasing the number of epochs
  • B. Early stopping
  • C. Adding another layer with the 100 neurons
  • D. Random initialization of weights with appropriate seed

答案:C


問題 #82
A Machine Learning Specialist at a company sensitive to security is preparing a dataset for model training. The dataset is stored in Amazon S3 and contains Personally Identifiable Information (PII).
The dataset:
* Must be accessible from a VPC only.
* Must not traverse the public internet.
How can these requirements be satisfied?

  • A. Create a VPC endpoint and use Network Access Control Lists (NACLs) to allow traffic between only the given VPC endpoint and an Amazon EC2 instance.
  • B. Create a VPC endpoint and use security groups to restrict access to the given VPC endpoint and an Amazon EC2 instance
  • C. Create a VPC endpoint and apply a bucket access policy that allows access from the given VPC endpoint and an Amazon EC2 instance.
  • D. Create a VPC endpoint and apply a bucket access policy that restricts access to the given VPC endpoint and the VPC.

答案:D


問題 #83
A Machine Learning Specialist at a company sensitive to security is preparing a dataset for model training.
The dataset is stored in Amazon S3 and contains Personally Identifiable Information (Pll). The dataset:
* Must be accessible from a VPC only.
* Must not traverse the public internet.
How can these requirements be satisfied?

  • A. Create a VPC endpoint and use Network Access Control Lists (NACLs) to allow traffic between only the given VPC endpoint and an Amazon EC2 instance.
  • B. Create a VPC endpoint and use security groups to restrict access to the given VPC endpoint and an Amazon EC2 instance.
  • C. Create a VPC endpoint and apply a bucket access policy that allows access from the given VPC endpoint and an Amazon EC2 instance.
  • D. Create a VPC endpoint and apply a bucket access policy that restricts access to the given VPC endpoint and the VPC.

答案:D


問題 #84
......

上帝是很公平的,每個人都是不完美的。就好比我,平時不努力,老大徒傷悲。現在的IT行業競爭壓力不言而喻大家都知道,每個人都想通過IT認證來提升自身的價值,我也是,可是這種對我們來說是太難太難了,所學的專業知識早就忘了,惡補那是不現實的,還好我在互聯網上看到了Fast2test Amazon的MLS-C01考試培訓資料,有了它我就不用擔心我得考試了,Fast2test Amazon的MLS-C01考試培訓資料真的很好,它的內容覆蓋面廣,而且針對性強,絕對比我自己復習去準備考試好,如果你也是IT行業中的一員,那就趕緊將Fast2test Amazon的MLS-C01考試培訓資料加入購物車吧,不要猶豫,不要徘徊,Fast2test Amazon的MLS-C01考試培訓資料絕對是成功最好的伴侶。

MLS-C01真題: https://tw.fast2test.com/MLS-C01-premium-file.html

ExolTechUSexo_7413342ce0ebc2daa7b3dc945ce036f1.jpg