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DAS-C01 Actual Questions - AWS Certified Data Analytics - Specialty (DAS-C01) | Braindumps

Amazon DAS-C01 : AWS Certified Data Analytics - Specialty (DAS-C01) Exam Dumps

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Latest 2023 Updated Amazon AWS Certified Data Analytics - Specialty (DAS-C01) Syllabus
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Exam Number : DAS-C01
Exam Name : AWS Certified Data Analytics - Specialty (DAS-C01)
Vendor Name : Amazon
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DAS-C01 Exam Format | DAS-C01 Course Contents | DAS-C01 Course Outline | DAS-C01 Exam Syllabus | DAS-C01 Exam Objectives

Exam Detail:
The DAS-C01 AWS Certified Data Analytics - Specialty exam is designed to validate the knowledge and skills of individuals working with data analytics on the Amazon Web Services (AWS) platform. Here are the exam details for the DAS-C01 exam:

- Number of Questions: The exam typically consists of multiple-choice and multiple-response questions. The exact number of questions may vary, but it is typically around 65-75 questions.

- Time Limit: The time allotted to complete the exam is 170 minutes (2 hours and 50 minutes).

Course Outline:
The DAS-C01 certification exam covers a wide range of topics related to data analytics on AWS. The course outline typically includes the following domains:

1. Collection, Storage, and Data Management:
- Understanding AWS data collection services, such as AWS Data Pipeline, AWS Glue, and AWS Database Migration Service (DMS).
- Implementing data storage and data management solutions using AWS services like Amazon S3, Amazon Redshift, and Amazon DynamoDB.
- Configuring data access and security controls.

2. Processing:
- Designing and implementing data processing solutions using AWS services like Amazon EMR, AWS Lambda, and AWS Glue.
- Transforming and enriching data using AWS Glue and AWS Lambda functions.
- Implementing data governance and data quality controls.

3. Analysis and Visualization:
- Leveraging AWS services like Amazon Athena, Amazon QuickSight, and Amazon Quicksight to perform data analysis and visualization.
- Designing and optimizing queries and data analysis workflows.
- Creating interactive and insightful dashboards and visualizations.

4. Machine Learning:
- Understanding the principles of machine learning (ML) and its application in data analytics.
- Implementing ML solutions using AWS services like Amazon SageMaker, AWS Glue, and Amazon Rekognition.
- Evaluating and optimizing ML models.

Exam Objectives:
The objectives of the DAS-C01 exam are as follows:

- Assessing candidates' knowledge of AWS data analytics services and their capabilities.
- Evaluating candidates' proficiency in designing and implementing data collection, storage, and management solutions.
- Testing candidates' ability to process and transform data using AWS data analytics services.
- Assessing candidates' understanding of data analysis and visualization techniques using AWS services.
- Evaluating candidates' knowledge of machine learning principles and their application in data analytics on AWS.

Exam Syllabus:
The specific exam syllabus for the DAS-C01 exam covers the following topics:

1. Domain 1: Collection, Storage, and Data Management:
- AWS data collection services.
- Data storage solutions on AWS.
- Data management and security controls.

2. Domain 2: Processing:
- AWS data processing services.
- Data transformation and enrichment using AWS services.
- Data governance and data quality.

3. Domain 3: Analysis and Visualization:
- AWS services for data analysis and visualization.
- Query optimization and performance tuning.
- Dashboard creation and interactive visualizations.

4. Domain 4: Machine Learning:
- Machine learning principles and concepts.
- AWS machine learning services.
- ML model evaluation and optimization.

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Amazon Specialty answers

Amazon urged to answer questions about development near M62

RETAIL giant Amazon has been urged to answer questions about a massive fulfilment centre planned for farmland near junction 26 of the M62 by attending a public meeting with local people.

The invitation has been made by Batley and Spen MP Kim Leadbeater and follows concerns that thousands of jobs being touted as part of the project may fail to materialise.

Objectors to the scheme have expressed fears that the majority of jobs created – said to be as many as 2,400 – will be low-skilled or unskilled.

The GMB union has pledged to ask Kirklees Council to put as much pressure on Amazon as possible to ensure it is given access to recruit any workers the company employs should the facility be approved at planning committee.

Amazon was confirmed as the company behind the contentious proposals last month via a letter to Ms Leadbeater from ISG Retail Ltd (Bristol), the company that submitted the plans to Kirklees Council.

Confirmation that massive warehouse will be run by Amazon

Ms Leadbeater says she has seen nothing to change her opinion that the scheme is “simply too big” for the 59-acre site between Whitehall Road, Whitechapel Road and junction 26 of the M62 at Scholes near Cleckheaton.

She believes the local community cannot accommodate the mammoth development, which has been described by critics as equivalent in height to an eight-storey tower block and the length of three full-size football pitches side-by-side.

She says the “damage” the development would do locally “far exceeds any benefit” in terms of employment, and that “already over-burdened roads” could not cope with extra traffic from both delivery vehicles and employees trying to get to and from work.

She added: “However, now that Amazon have finally confirmed to me that they would be the end-user of the proposed development it is absolutely right that their track record should be taken into account, including on employment. We all want to see more, good quality, long-terms jobs for local people, but I have a number of concerns.

“These include Amazon’s well-advertised ambition of having increasingly automated operations, which calls into question the sustainability of the jobs on offer. There is also the impact on the local employment picture overall and the risk of creating shortages in, for example, the health and social care sectors.

“I have asked Amazon to agree to join me at a public meeting in the area so local residents can put these and many other questions to the company directly. I would also call on Amazon to confirm that, should the development go ahead, any workers would be entitled to join a recognised trade union as this would be the best way of ensuring that employment rights are properly protected.”

'Sexist' Amazon Alexa didn't answer Lionesses question

Amazon has been accused of sexism after its Alexa voice assistant was unable to respond to a question about the Lionesses' semi-final victory at the Women's World Cup.

When asked on Wednesday "for the result of the England-Australia football match today" it said there was no match.

"This was an error that has been fixed," an Amazon spokesperson said.

Academic Joanne Rodda - who alerted the BBC - said it showed "sexism in football was embedded in Alexa".

Dr Rodda, a senior lecturer in psychiatry at Kent and Medway Medical School - with an interest in artificial intelligence (AI), said she had only been able to get an answer from Alexa when she specified it was women's football she was interested in.

"When I asked Alexa about the women's England-Australia football match today it gave me the result," she told the BBC.

The BBC was able to replicate what she had found on Alexa.

Responding to Amazon saying it had remedied the situation, Dr Rodda told the BBC it was "pretty sad that after almost a decade of Alexa, it's only today that the AI algorithm has been 'fixed' so that it now recognises woman's World Cup football as 'football'".

Amazon admits its device made an error

Amazon told the BBC that when a customer asks Alexa a question, information is pulled from a variety of sources, including Amazon, licensed content providers, and websites.

It added that it had automated systems which use AI to understand the context and pull out the most relevant information, but the systems got it wrong in this case.

The firm said it expected the systems to get better over time, adding that it has teams dedicated to help prevent similar situations in the future.

Dr Rodda also questioned the extent to which the problem had actually been fixed, saying she still found similar problems with the Women's Super League.

"Out of interest, I just asked Alexa who Arsenal football team are playing in October," she said.

"It replied with information about the men's team, and wasn't able to give an answer when I asked specifically about women's fixtures.

The incident highlights the issue of bias being embedded in systems powered by the booming AI sector.

That rapid growth has led some to warn that AI could threaten humanity's future - but others, including the EU's competition chief Margrethe Vestager, say it's the potential for AI to entrench existing prejudices that is a bigger concern.

That is because AI is only as good as the data that has been used to train it. AI tools are trained on vast datasets and the onus is on the developers to ensure that they are sufficiently diverse, which they aren't always.

An added difficulty is that once bias is embedded it is not always straightforward to make a tool "unlearn" its training - sometimes the only option is to start again, which firms may be reluctant to do given the huge costs of creating AI in the first place.

Being overlooked by an algorithm is only going to become an increasingly problematic experience as AI tools decide not only what we see and hear but also how much we pay for things like car insurance, and perhaps what healthcare we require.

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