あなたに高品質で、全面的なMLS-C01英語版参考資料を提供することは私たちの責任です。私たちより、MLS-C01英語版試験を知る人はいません。あなたはMLS-C01英語版試験に不安を持っていますか？MLS-C01英語版参考資料をご覧下さい。 今の多くのIT者が参加している試験に、AmazonのMLS-C01英語版認定試験「AWS Certified Machine Learning - Specialty」がとても人気がある一つとして、合格するために豊富な知識と経験が必要です。AmazonのMLS-C01英語版認定試験に準備する練習ツールや訓練機関に通学しなればまりませんでしょう。 Omgzlookは専門のIT業界での評判が高くて、あなたがインターネットでOmgzlookの部分のAmazon MLS-C01英語版「AWS Certified Machine Learning - Specialty」資料を無料でダウンロードして、弊社の正確率を確認してください。
AWS Certified Specialty MLS-C01 暇の時間を利用して勉強します。
我々MLS-C01 - AWS Certified Machine Learning - Specialty英語版問題集を利用し、試験に参加しましょう。 そして、MLS-C01 模擬対策試験参考書の問題は本当の試験問題とだいたい同じことであるとわかります。MLS-C01 模擬対策試験参考書があれば,ほかの試験参考書を勉強する必要がないです。
あなたはまだ躊躇しているなら、OmgzlookのMLS-C01英語版問題集デモを参考しましょ。なにごとによらず初手は难しいです、どのようにAmazon MLS-C01英語版試験への復習を始めて悩んでいますか。我々のAmazon MLS-C01英語版問題集を購買するのはあなたの試験に準備する第一歩です。
Amazon MLS-C01英語版 - きっと望んでいるでしょう。
MLS-C01英語版参考資料を使用したお客様からいい評価をもらいました。MLS-C01英語版参考資料は多くの人の絶対いい選択です。MLS-C01英語版参考資料の難点については、弊社の専門家ガ例を挙げて説明します。そうすれば、わかりやすく、覚えやすいです。弊社の MLS-C01英語版参考資料は実践に基づいて、専門的な知識の蓄積です。だから、MLS-C01英語版試験のために、弊社の商品を選ばれば、後悔することがないです。
OmgzlookのMLS-C01英語版教材を購入したら、あなたは一年間の無料アップデートサービスを取得しました。試験問題集が更新されると、Omgzlookは直ちにあなたのメールボックスにMLS-C01英語版問題集の最新版を送ります。
MLS-C01 PDF DEMO:
QUESTION NO: 1
Amazon Connect has recently been tolled out across a company as a contact call center The solution has been configured to store voice call recordings on Amazon S3 The content of the voice calls are being analyzed for the incidents being discussed by the call operators Amazon Transcribe is being used to convert the audio to text, and the output is stored on Amazon S3 Which approach will provide the information required for further analysis?
A. Use Amazon Comprehend with the transcribed files to build the key topics
B. Use the AWS Deep Learning AMI with Gluon Semantic Segmentation on the transcribed files to train and build a model for the key topics
C. Use Amazon Translate with the transcribed files to train and build a model for the key topics
D. Use the Amazon SageMaker k-Nearest-Neighbors (kNN) algorithm on the transcribed files to generate a word embeddings dictionary for the key topics
Answer: C
QUESTION NO: 2
A Data Scientist wants to gain real-time insights into a data stream of GZIP files. Which solution would allow the use of SQL to query the stream with the LEAST latency?
A. Amazon Kinesis Data Firehose to transform the data and put it into an Amazon S3 bucket.
B. Amazon Kinesis Data Analytics with an AWS Lambda function to transform the data.
C. AWS Glue with a custom ETL script to transform the data.
D. An Amazon Kinesis Client Library to transform the data and save it to an Amazon ES cluster.
Answer: B
QUESTION NO: 3
A Machine Learning Specialist is using Amazon SageMaker to host a model for a highly available customer-facing application .
The Specialist has trained a new version of the model, validated it with historical data, and now wants to deploy it to production To limit any risk of a negative customer experience, the Specialist wants to be able to monitor the model and roll it back, if needed What is the SIMPLEST approach with the LEAST risk to deploy the model and roll it back, if needed?
A. Create a SageMaker endpoint and configuration for the new model version. Redirect production traffic to the new endpoint by using a load balancer Revert traffic to the last version if the model does not perform as expected.
B. Update the existing SageMaker endpoint to use a new configuration that is weighted to send 5% of the traffic to the new variant. Revert traffic to the last version by resetting the weights if the model does not perform as expected.
C. Update the existing SageMaker endpoint to use a new configuration that is weighted to send 100% of the traffic to the new variant Revert traffic to the last version by resetting the weights if the model does not perform as expected.
D. Create a SageMaker endpoint and configuration for the new model version. Redirect production traffic to the new endpoint by updating the client configuration. Revert traffic to the last version if the model does not perform as expected.
Answer: D
QUESTION NO: 4
A Machine Learning Specialist receives customer data for an online shopping website. The data includes demographics, past visits, and locality information. The Specialist must develop a machine learning approach to identify the customer shopping patterns, preferences and trends to enhance the website for better service and smart recommendations.
Which solution should the Specialist recommend?
A. A neural network with a minimum of three layers and random initial weights to identify patterns in the customer database
B. Random Cut Forest (RCF) over random subsamples to identify patterns in the customer database
C. Latent Dirichlet Allocation (LDA) for the given collection of discrete data to identify patterns in the customer database.
D. Collaborative filtering based on user interactions and correlations to identify patterns in the customer database
Answer: D
QUESTION NO: 5
A Machine Learning Specialist kicks off a hyperparameter tuning job for a tree-based ensemble model using Amazon SageMaker with Area Under the ROC Curve (AUC) as the objective metric This workflow will eventually be deployed in a pipeline that retrains and tunes hyperparameters each night to model click-through on data that goes stale every 24 hours With the goal of decreasing the amount of time it takes to train these models, and ultimately to decrease costs, the Specialist wants to reconfigure the input hyperparameter range(s) Which visualization will accomplish this?
A. A scatter plot with points colored by target variable that uses (-Distributed Stochastic Neighbor
Embedding (I-SNE) to visualize the large number of input variables in an easier-to-read dimension.
B. A scatter plot showing (he performance of the objective metric over each training iteration
C. A histogram showing whether the most important input feature is Gaussian.
D. A scatter plot showing the correlation between maximum tree depth and the objective metric.
Answer: A
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Updated: May 28, 2022