AmazonのMLS-C01資格トレーニング試験に合格することは容易なことではなくて、良い訓練ツールは成功の保証でShobhadoshiは君の試験の問題を準備してしまいました。君の初めての合格を目標にします。 ShobhadoshiのAmazonのMLS-C01資格トレーニング試験トレーニング資料は１００パーセントの合格率を保証しますから、ためらわずに決断してShobhadoshiを選びましょう。AmazonのMLS-C01資格トレーニング認定試験は実は技術専門家を認証する試験です。 どんな業界で自分に良い昇進機会があると希望する職人がとても多いと思って、IT業界にも例外ではありません。

AWS Certified Specialty MLS-C01 今はそのようにしていますか。

AWS Certified Specialty MLS-C01資格トレーニング - AWS Certified Machine Learning - Specialty IT認証は同業種の欠くことができないものになりました。 でも、利用したことがありますか。「ShobhadoshiのMLS-C01 試験復習問題集は本当に良い教材です。

Shobhadoshiに会ったら、最高のトレーニング資料を見つけました。ShobhadoshiのAmazonのMLS-C01資格トレーニング試験トレーニング資料を持っていたら、試験に対する充分の準備がありますから、安心に利用したください。Shobhadoshiは優れたIT情報のソースを提供するサイトです。

Amazon MLS-C01資格トレーニング - もっと多くの認可と就職機会を貰いたいのですか。

時間とお金の集まりより正しい方法がもっと大切です。AmazonのMLS-C01資格トレーニング試験のために勉強していますなら、Shobhadoshiの提供するAmazonのMLS-C01資格トレーニング試験ソフトはあなたの選びの最高です。我々の目的はあなたにAmazonのMLS-C01資格トレーニング試験に合格することだけです。試験に失敗したら、弊社は全額で返金します。我々の誠意を信じてください。あなたが順調に試験に合格するように。

あなたは各バーションのAmazonのMLS-C01資格トレーニング試験の資料をダウンロードしてみることができ、あなたに一番ふさわしいバーションを見つけることができます。暇な時間だけでAmazonのMLS-C01資格トレーニング試験に合格したいのですか。

MLS-C01 PDF DEMO:

QUESTION NO: 1
A Machine Learning Specialist is building a logistic regression model that will predict whether or not a person will order a pizza. The Specialist is trying to build the optimal model with an ideal classification threshold.
What model evaluation technique should the Specialist use to understand how different classification thresholds will impact the model's performance?
A. Receiver operating characteristic (ROC) curve
B. Misclassification rate
C. Root Mean Square Error (RM&)
D. L1 norm
Answer: A

QUESTION NO: 2
A Machine Learning Specialist built an image classification deep learning model. However the
Specialist ran into an overfitting problem in which the training and testing accuracies were 99% and
75%r respectively.
How should the Specialist address this issue and what is the reason behind it?
A. The learning rate should be increased because the optimization process was trapped at a local minimum.
B. The dimensionality of dense layer next to the flatten layer should be increased because the model is not complex enough.
C. The epoch number should be increased because the optimization process was terminated before it reached the global minimum.
D. The dropout rate at the flatten layer should be increased because the model is not generalized enough.
Answer: C

QUESTION NO: 3
A Machine Learning Specialist working for an online fashion company wants to build a data ingestion solution for the company's Amazon S3-based data lake.
The Specialist wants to create a set of ingestion mechanisms that will enable future capabilities comprised of:
* Real-time analytics
* Interactive analytics of historical data
* Clickstream analytics
* Product recommendations
Which services should the Specialist use?
A. Amazon Athena as the data catalog; Amazon Kinesis Data Streams and Amazon Kinesis Data
Analytics for historical data insights; Amazon DynamoDB streams for clickstream analytics; AWS Glue to generate personalized product recommendations
B. AWS Glue as the data catalog; Amazon Kinesis Data Streams and Amazon Kinesis Data Analytics for historical data insights; Amazon Kinesis Data Firehose for delivery to Amazon ES for clickstream analytics; Amazon EMR to generate personalized product recommendations
C. AWS Glue as the data dialog; Amazon Kinesis Data Streams and Amazon Kinesis Data Analytics for real-time data insights; Amazon Kinesis Data Firehose for delivery to Amazon ES for clickstream analytics; Amazon EMR to generate personalized product recommendations
D. Amazon Athena as the data catalog; Amazon Kinesis Data Streams and Amazon Kinesis Data
Analytics for near-realtime data insights; Amazon Kinesis Data Firehose for clickstream analytics; AWS
Glue to generate personalized product recommendations
Answer: C

QUESTION NO: 4
A Machine Learning Specialist has created a deep learning neural network model that performs well on the training data but performs poorly on the test data.
Which of the following methods should the Specialist consider using to correct this? (Select THREE.)
A. Decrease dropout.
B. Increase regularization.
C. Increase feature combinations.
D. Decrease feature combinations.
E. Decrease regularization.
F. Increase dropout.
Answer: A,B,C

QUESTION NO: 5
A Marketing Manager at a pet insurance company plans to launch a targeted marketing campaign on social media to acquire new customers Currently, the company has the following data in
Amazon Aurora
* Profiles for all past and existing customers
* Profiles for all past and existing insured pets
* Policy-level information
* Premiums received
* Claims paid
What steps should be taken to implement a machine learning model to identify potential new customers on social media?
A. Use a decision tree classifier engine on customer profile data to understand key characteristics of consumer segments. Find similar profiles on social media
B. Use a recommendation engine on customer profile data to understand key characteristics of consumer segments. Find similar profiles on social media
C. Use regression on customer profile data to understand key characteristics of consumer segments
Find similar profiles on social media.
D. Use clustering on customer profile data to understand key characteristics of consumer segments
Find similar profiles on social media.
Answer: B

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Updated: May 28, 2022