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 Bedrock release date speculation – can you access AWS AI?

Amazon have just announced Bedrock, their generative AI built on the AWS platform. When could the Bedrock release date swing round?

With the traction that it’s been getting recently, it was only a matter of time before Amazon dipped their feet in the AI pond. Announced on April 13th, Amazon’s Bedrock will be a cloud-based platform offering generative-AI services. The API will be for AWS (Amazon Web Services) and will give developers a decent amount of control.

A few of the features highlighted by Amazon are text generation, the ability to build Chatbots, textual analysis and summarization, and image generation. However, the retail and tech giant haven’t mentioned when the service is going to be readily available for corporations and businesses to use. We’ve gone ahead and looked at the latest rumours to predict a release date for Amazon Bedrock.

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*Prices are subject to change. VideoGamer.com is reader-supported. When you buy through links on our site, we may earn an affiliate commission. Learn more Amazon Bedrock release date speculation – what we know so far

Labelled by many as a ChatGPT rival, there’s little in the way of release date rumours surrounding Amazon Bedrock. However, we can use whatever inkling of information the company has revealed to figure out a predicted launch period.

While Amazon CodeWhisperer, their AI coding companion has been made readily available, the same can’t be said for Amazon Bedrock. According to Swami Sivasubramanian (Amazon’s VP of Data and Machine Learning at AWS), “Bedrock is now in limited preview” and they will make the platform “available more broadly in the coming months.” This tells us that Amazon Bedrock’s release date isn’t too far off at all, really.

Amazon Bedrock will be built upon Foundation Models (FMs), which are dubbed Amazon Titan models. Bedrock will “initially have two,” according to Sivasubramanian, with the first being an LLM used partly for text generation, the second being another used to extract data and numerical representation from text. They will both have “responsible” safety measures implemented to protect users.

Can you access Amazon Bedrock yet?

At the moment, Amazon Bedrock is not yet available. It’s in a ‘limited preview’ at the time of writing, though it seems as though there are plans to move forward with development in the near future. It’s important to note that while Bedrock might be considered a rival to ChatGPT, it’s going to be protected behind Amazon AWS. It’s likely to be the preferred choice for corporations and businesses, though anyone can register for Amazon Web Services.

We’re going to be keeping an eye out for the latest updates on Amazon Bedrock, but in the meantime you might be interested in learning more about artificial general intelligence and if GPT-5 could have it.

Frequently Asked Questions

With the upcoming release of Amazon Bedrock, there are sure to be many questions asked surrounding the generative AI. We hope to answer the most relevant ones.

Is Amazon Bedrock going to cost money?

Amazon Bedrock is going to be a service that utilises AWS, which is a pay-as-you-go-service. The cost of the service will then be determined by your usage of it.

Is Amazon Bedrock a chatbot?

Bedrock will have chatbot capabilities, according to Amazon. Alongside image generation and text summation abilities.

Amazon Gets $1 Billion Tax Break To Build New Data Centers, AWS Regions

Cloud News Mark Haranas May 15, 2023, 11:03 AM EDT

Amazon has been granted an estimated $1 billion in tax breaks to build five new data centers in Oregon to boost its AWS cloud services reach.

Amazon is set to build five new data centers in Oregon after local officials approved tax breaks worth an estimated $1 billion for the cloud behemoth.

The Seattle-based company spends billions each year on building new data centers both in the U.S. and internationally to expand its cloud computing and cloud services reach via Amazon Web Services (AWS). Amazon’s AWS cloud business has an annual run rate of over $85 billion and is the worldwide cloud market share leader.

Amazon already has several data centers in the Morrow County area of Oregon, with the company being the county’s largest taxpayer.

Local officials in the county recently approved tax breaks estimated to be roughly $1 billion, which includes incentives that exempt the company from paying nearly three-quarters of the property taxes other businesses in the region pay, according to the Associated Press.

[Related: Triumph Tech CEO: AWS Will Win ‘AI War’ Vs. Google, Microsoft]

“We’ve been an active member of the eastern Oregon communities since 2011, investing more than $15.6 billion while supporting thousands of local jobs,” Amazon said in a statement. “Investments like these create and support high paying, highly skilled jobs in local communities, and projects that benefit local education, healthcare, public services and more.”

In 2023, AWS is continuing to pour billions into expanding its cloud computing footprint by building and equipping new data centers across the globe that power AWS Regions.

Although there is no timeframe on when the five new data centers in Oregon will be built, Amazon is constantly adding new AWS Regions which enable AWS cloud services.

For example, AWS this year unveiled plans to invest $35 billion in building data centers across Virginia by 2024 to increase its cloud computing capabilities.

In April, AWS announced it will spend $9 billion in Australia over the next five year to enhance its Australia-based data centers. Additionally, AWS launched two new AWS Local Zones in Chile this year.

Each AWS Region consists of at least one or more Availability Zones. These zones place AWS infrastructure in locations that are far enough from each other to support customers’ business continuity but near enough to offer low latency for applications that use multiple Availability Zones.

In 2022, the company launched new AWS Regions in India, Spain, Switzerland and the United Arab Emirates. The technology giant is planning to launch 15 more Availability Zones and five more AWS Regions in Canada, Israel, New Zealand and Thailand.

In total, AWS now has around 100 Availability Zones across 31 geographic regions.

Mark Haranas

Mark Haranas is an assistant news editor and longtime journalist now covering cloud, multicloud, software, SaaS and channel partners at CRN. He speaks with world-renown CEOs and IT experts as well as covering breaking news and live events while also managing several CRN reporters. He can be reached at mharanas@thechannelcompany.com.

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