完整的Amazon MLS-C01：AWS Certified Machine Learning - Specialty證照信息 -精心準備的Testpdf MLS-C01證照考試

BONUS!!! 免費下載Testpdf MLS-C01考試題庫的完整版：https://drive.google.com/open?id=1FhzRkTN09-aWiDx3yXkie5E5rZnmQI2D

我們Testpdf Amazon的MLS-C01考題是的100%通過驗證和測試的，是通過認證的專家，我們Testpdf Amazon 的MLS-C01的考試練習題及答案是通過實踐檢驗的軟體和它最終的認證準備培訓工具。在Testpdf中，你會發現最好的認證準備資料，這些資料包括練習題及答案，我們的資料有機會讓你實踐問題，最終實現自己的目標通過 Amazon的MLS-C01考試認證。

Amazon MLS-C01 考試面向具有機器學習和 AWS 服務（如 Amazon SageMaker、Amazon Rekognition 和 Amazon Comprehend）經驗的專業人士。該考試旨在面向數據科學家、機器學習工程師和開發人員，展示他們在機器學習及其在 AWS 平台上的應用方面的專業知識和技能。通過獲得 AWS 認證機器學習-專業資格證書，可幫助個人在職業生涯上取得進展，開拓新的就業機會。

>> MLS-C01證照信息 <<

Amazon MLS-C01證照考試，MLS-C01考試

適當的選擇培訓是成功的保證，但是選擇是相當重要的，Testpdf的知名度眾所周知，沒有理由不選擇它。當然，如果涉及到完善的培訓資料給你，如果你不適用那也是沒有效果的，所以在利用我們Testpdf的培訓資料之前，你可以先下載部分免費試題及答案作為試用，這樣你可以做好最真實的考試準備，以便輕鬆自如的應對MLS-C01測試，這也是為什麼成千上萬的考生依賴我們Testpdf的重要原因之一，我們提供的是最好最實惠最完整的MLS-C01考試培訓資料，以至於幫助他們順利通過測試。

最新的 AWS Certified Specialty MLS-C01 免費考試真題 (Q161-Q166):

問題 #161
A Machine Learning Specialist is implementing a full Bayesian network on a dataset that describes public transit in New York City. One of the random variables is discrete, and represents the number of minutes New Yorkers wait for a bus given that the buses cycle every 10 minutes, with a mean of 3 minutes.
Which prior probability distribution should the ML Specialist use for this variable?

A. Binomial distribution
B. Uniform distribution
C. Normal distribution
D. Poisson distribution

答案：D

解題說明：
The Poisson distribution is used to model the number of events occurring within a given time interval.

問題 #162
A company is running a machine learning prediction service that generates 100 TB of predictions every day A Machine Learning Specialist must generate a visualization of the daily precision-recall curve from the predictions, and forward a read-only version to the Business team.
Which solution requires the LEAST coding effort?

A. Run a daily Amazon EMR workflow to generate precision-recall data, and save the results in Amazon S3 Visualize the arrays in Amazon QuickSight, and publish them in a dashboard shared with the Business team
B. Run a daily Amazon EMR workflow to generate precision-recall data, and save the results in Amazon S3 Give the Business team read-only access to S3
C. Generate daily precision-recall data in Amazon QuickSight, and publish the results in a dashboard shared with the Business team
D. Generate daily precision-recall data in Amazon ES, and publish the results in a dashboard shared with the Business team.

答案：C

問題 #163
A medical imaging company wants to train a computer vision model to detect areas of concern on patients' CT scans. The company has a large collection of unlabeled CT scans that are linked to each patient and stored in an Amazon S3 bucket. The scans must be accessible to authorized users only. A machine learning engineer needs to build a labeling pipeline.
Which set of steps should the engineer take to build the labeling pipeline with the LEAST effort?

A. Create a workforce with AWS Identity and Access Management (IAM). Build a labeling tool on Amazon EC2 Queue images for labeling by using Amazon Simple Queue Service (Amazon SQS).
Write the labeling instructions.
B. Create a private workforce and manifest file. Create a labeling job by using the built-in bounding box task type in Amazon SageMaker Ground Truth. Write the labeling instructions.
C. Create an Amazon Mechanical Turk workforce and manifest file. Create a labeling job by using the built-in image classification task type in Amazon SageMaker Ground Truth. Write the labeling instructions.
D. Create a workforce with Amazon Cognito. Build a labeling web application with AWS Amplify. Build a labeling workflow backend using AWS Lambda. Write the labeling instructions.

答案：B

解題說明：
The engineer should create a private workforce and manifest file, and then create a labeling job by using the built-in bounding box task type in Amazon SageMaker Ground Truth. This will allow the engineer to build the labeling pipeline with the least effort.
A private workforce is a group of workers that you manage and who have access to your labeling tasks. You can use a private workforce to label sensitive data that requires confidentiality, such as medical images. You can create a private workforce by using Amazon Cognito and inviting workers by email. You can also use AWS Single Sign-On or your own authentication system to manage your private workforce.
A manifest file is a JSON file that lists the Amazon S3 locations of your input data. You can use a manifest file to specify the data objects that you want to label in your labeling job. You can create a manifest file by using the AWS CLI, the AWS SDK, or the Amazon SageMaker console.
A labeling job is a process that sends your input data to workers for labeling. You can use the Amazon SageMaker console to create a labeling job and choose from several built-in task types, such as image classification, text classification, semantic segmentation, and bounding box. A bounding box task type allows workers to draw boxes around objects in an image and assign labels to them. This is suitable for object detection tasks, such as identifying areas of concern on CT scans.
Create and Manage Workforces - Amazon SageMaker
Use Input and Output Data - Amazon SageMaker
Create a Labeling Job - Amazon SageMaker
Bounding Box Task Type - Amazon SageMaker

問題 #164
A Machine Learning Specialist needs to create a data repository to hold a large amount of time-based training data for a new model. In the source system, new files are added every hour Throughout a single 24-hour period, the volume of hourly updates will change significantly. The Specialist always wants to train on the last
24 hours of the data
Which type of data repository is the MOST cost-effective solution?

A. An Amazon S3 data lake with hourly object prefixes
B. An Amazon EMR cluster with hourly hive partitions on Amazon EBS volumes
C. An Amazon EBS-backed Amazon EC2 instance with hourly directories
D. An Amazon RDS database with hourly table partitions

答案：A

解題說明：
Explanation
An Amazon S3 data lake is a cost-effective solution for storing and analyzing large amounts of time-based training data for a new model. Amazon S3 is a highly scalable, durable, and secure object storage service that can store any amount of data in any format. Amazon S3 also offers low-cost storage classes, such as S3 Standard-IA and S3 One Zone-IA, that can reduce the storage costs for infrequently accessed data. By using hourly object prefixes, the Machine Learning Specialist can organize the data into logical partitions based on the time of ingestion. This can enable efficient data access and management, as well as support incremental updates and deletes. The Specialist can also use Amazon S3 lifecycle policies to automatically transition the data to lower-cost storage classes or delete the data after a certain period of time. This way, the Specialist can always train on the last 24 hours of the data and optimize the storage costs.
References:
What is a data lake? - Amazon Web Services
Amazon S3 Storage Classes - Amazon Simple Storage Service
Managing your storage lifecycle - Amazon Simple Storage Service
Best Practices Design Patterns: Optimizing Amazon S3 Performance

問題 #165
A Data Scientist needs to create a serverless ingestion and analytics solution for high-velocity, real-time streaming data.
The ingestion process must buffer and convert incoming records from JSON to a query- optimized, columnar format without data loss. The output datastore must be highly available, and Analysts must be able to run SQL queries against the data and connect to existing business intelligence dashboards.
Which solution should the Data Scientist build to satisfy the requirements?

A. Write each JSON record to a staging location in Amazon S3. Use the S3 Put event to trigger an AWS Lambda function that transforms the data into Apache Parquet or ORC format and inserts it into an Amazon RDS PostgreSQL database. Have the Analysts query and run dashboards from the RDS database.
B. Create a schema in the AWS Glue Data Catalog of the incoming data format. Use an Amazon Kinesis Data Firehose delivery stream to stream the data and transform the data to Apache Parquet or ORC format using the AWS Glue Data Catalog before delivering to Amazon S3. Have the Analysts query the data directly from Amazon S3 using Amazon Athena, and connect to BI tools using the Athena Java Database Connectivity (JDBC) connector.
C. Use Amazon Kinesis Data Analytics to ingest the streaming data and perform real-time SQL queries to convert the records to Apache Parquet before delivering to Amazon S3. Have the Analysts query the data directly from Amazon S3 using Amazon Athena and connect to BI tools using the Athena Java Database Connectivity (JDBC) connector.
D. Write each JSON record to a staging location in Amazon S3. Use the S3 Put event to trigger an AWS Lambda function that transforms the data into Apache Parquet or ORC format and writes the data to a processed data location in Amazon S3. Have the Analysts query the data directly from Amazon S3 using Amazon Athena, and connect to BI tools using the Athena Java Database Connectivity (JDBC) connector.

答案：B

問題 #166
......

你只需要獲得Testpdf提供的Amazon MLS-C01認證考試的練習題和答案做模擬測試，您是可以順利通過Amazon MLS-C01 認證考試的。如果你有了Amazon MLS-C01 認證證書，你的職業水準就超出很大部分人，你就可以獲得很大職位晉升機會。將Testpdf的產品加入購物車吧，Testpdf可以在互聯網上為你提供24小時線上客戶服務。

MLS-C01證照考試: https://www.testpdf.net/MLS-C01.html

使用我們提供的MLS-C01學習材料以及考試練習題和答案，能確保你第一次參加MLS-C01考試時挑戰成功，而且不用花費大量時間和精力來準備考試，因此Amazon MLS-C01認證考試是一個很多IT專業人士關注的考試，這樣才能保證MLS-C01題庫中的所有考試問題和答案100％準確; 2，必須是2019最新的MLS-C01題庫，我們AWS Certified Machine Learning - Specialty - MLS-C01考試培訓資料是核實了真實考試的培訓資料，這些問題和答案反應了AWS Certified Machine Learning - Specialty - MLS-C01考古題的專業性及實際經驗，Amazon AWS Certified Machine Learning - Specialty - MLS-C01考古題培訓資料是我們考生的獲得認證的最佳良藥，MLS-C01證照考試 - AWS Certified Machine Learning - Specialty 的官方解释是：MLS-C01證照考試 - AWS Certified Machine Learning - Specialty 是一项全球认证，可验证您执行核心安全功能和追求IT安全职业所需的基本技能。

其實這雄虎無非就是換壹個話題而已，然後在接下來就會隨便搞點其他的事情，淡臺霸氣笑道，介紹了之前的那個青年，使用我們提供的MLS-C01學習材料以及考試練習題和答案，能確保你第一次參加MLS-C01考試時挑戰成功，而且不用花費大量時間和精力來準備考試。

受信任的MLS-C01證照信息＆保證Amazon MLS-C01考試成功與有效的MLS-C01證照考試

因此Amazon MLS-C01認證考試是一個很多IT專業人士關注的考試，這樣才能保證MLS-C01題庫中的所有考試問題和答案100％準確; 2，必須是2019最新的MLS-C01題庫，我們AWS Certified Machine Learning - Specialty - MLS-C01考試培訓資料是核實了真實考試的培訓資料，這些問題和答案反應了AWS Certified Machine Learning - Specialty - MLS-C01考古題的專業性及實際經驗，Amazon AWS Certified Machine Learning - Specialty - MLS-C01考古題培訓資料是我們考生的獲得認證的最佳良藥。

AWS Certified Machine Learning - Specialty 的官方解释是：AWS Certified Machine Learning - Specialty MLS-C01是一项全球认证，可验证您执行核心安全功能和追求IT安全职业所需的基本技能。

此外，這些Testpdf MLS-C01考試題庫的部分內容現在是免費的：https://drive.google.com/open?id=1FhzRkTN09-aWiDx3yXkie5E5rZnmQI2D