MLS-C01 模擬試験問題集 - Amazon MLS-C01 問題集 & AWS Certified Machine Learning Specialty - Omgzlook

きみはAmazonのMLS-C01模擬試験問題集認定テストに合格するためにたくさんのルートを選択肢があります。Omgzlookは君のために良い訓練ツールを提供し、君のAmazon認証試に高品質の参考資料を提供しいたします。あなたの全部な需要を満たすためにいつも頑張ります。 弊社のAmazonのMLS-C01模擬試験問題集試験のソフトを通して、あなたはリラクスで得られます。なぜ我々のAmazonのMLS-C01模擬試験問題集ソフトに自信があるかと聞かれたら、まずは我々Omgzlookの豊富な経験があるチームです、次は弊社の商品を利用してAmazonのMLS-C01模擬試験問題集試験に合格する多くのお客様です。 Omgzlookの専門家チームがAmazonのMLS-C01模擬試験問題集認証試験に対して最新の短期有効なトレーニングプログラムを研究しました。

その中で、MLS-C01模擬試験問題集認定試験は最も重要な一つです。

OmgzlookはAmazonのMLS-C01 - AWS Certified Machine Learning - Specialty模擬試験問題集認定試験に向けてもっともよい問題集を研究しています。 OmgzlookのAmazonのMLS-C01 的中関連問題試験トレーニング資料を使ったら、君のAmazonのMLS-C01 的中関連問題認定試験に合格するという夢が叶えます。なぜなら、それはAmazonのMLS-C01 的中関連問題認定試験に関する必要なものを含まれるからです。

Omgzlookのシニア専門家チームはAmazonのMLS-C01模擬試験問題集試験に対してトレーニング教材を研究できました。Omgzlookが提供した教材を勉強ツルとしてAmazonのMLS-C01模擬試験問題集認定試験に合格するのはとても簡単です。Omgzlookも君の100%合格率を保証いたします。

Amazon MLS-C01模擬試験問題集 - Omgzlookを選択したら、成功をとりましょう。

社会と経済の発展につれて、多くの人はIT技術を勉強します。なぜならば、IT職員にとって、AmazonのMLS-C01模擬試験問題集資格証明書があるのは肝心な指標であると言えます。自分の能力を証明するために、MLS-C01模擬試験問題集試験に合格するのは不可欠なことです。弊社のMLS-C01模擬試験問題集真題を入手して、試験に合格する可能性が大きくなります。

Omgzlookの勉強資料を手に入れたら、指示に従えば MLS-C01模擬試験問題集認定試験に受かることはたやすくなります。受験生の皆様にもっと多くの助けを差し上げるために、Omgzlook のAmazonのMLS-C01模擬試験問題集トレーニング資料はインターネットであなたの緊張を解消することができます。

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