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Exam Number : Google-PCDE
Exam Name : Google Cloud Certified - Professional Cloud Database Engineer
Vendor Name : Google
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Google-PCDE Exam Format | Google-PCDE Course Contents | Google-PCDE Course Outline | Google-PCDE Exam Syllabus | Google-PCDE Exam Objectives
Exam Specification: Google-PCDE Google Cloud Certified - Professional Cloud Database Engineer
Exam Name: Google-PCDE Google Cloud Certified - Professional Cloud Database Engineer
Exam Code: Google-PCDE
Exam Duration: 2 hours
Passing Score: Not specified
Exam Format: Multiple-choice and scenario-based questions
Course Outline:
1. Google Cloud Platform Overview
- Overview of Google Cloud Platform (GCP) services
- Understanding GCP database offerings
- Key concepts and features of GCP database solutions
2. Database Planning and Design
- Assessing business requirements for database solutions
- Designing database architectures and schemas
- Planning for scalability, availability, and disaster recovery
3. Database Implementation and Deployment
- Deploying and provisioning database instances on GCP
- Configuring database security and access controls
- Migrating data to GCP databases
4. Database Management and Monitoring
- Managing database operations and configurations
- Performing database backups and restores
- Monitoring database performance and optimizing query execution
5. Database Performance Tuning and Optimization
- Analyzing database performance bottlenecks
- Optimizing database schemas and indexes
- Implementing caching and query optimization techniques
6. Data Security and Compliance
- Securing data in GCP databases
- Implementing encryption and access controls
- Ensuring compliance with data privacy regulations
Exam Objectives:
1. Understand the key features and services of Google Cloud Platform (GCP) databases.
2. Plan and design database architectures based on business requirements.
3. Implement and deploy GCP database solutions.
4. Manage and monitor database operations and configurations.
5. Perform database performance tuning and optimization.
6. Ensure data security and compliance in GCP databases.
Exam Syllabus:
Section 1: Google Cloud Platform Overview (15%)
- Overview of GCP services
- GCP database offerings and features
Section 2: Database Planning and Design (20%)
- Assessing business requirements
- Database architecture and schema design
- Scalability, availability, and disaster recovery planning
Section 3: Database Implementation and Deployment (20%)
- Deploying and provisioning database instances
- Security and access control configuration
- Data migration to GCP databases
Section 4: Database Management and Monitoring (20%)
- Managing database operations and configurations
- Backup and restore procedures
- Performance monitoring and query optimization
Section 5: Database Performance Tuning and Optimization (15%)
- Performance bottleneck analysis
- Schema and index optimization
- Caching and query optimization techniques
Section 6: Data Security and Compliance (10%)
- Database security measures
- Encryption and access control implementation
- Compliance with data privacy regulations
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"Whether it's a matter of personal safety or personal preference, users should be able to discover content without their search engine reporting and profiling those results to a Big Tech company." "Brave is on a mission to build a user-first Web. That mission starts with the Brave browser and Brave Search. With the release of image and video search, we're continuing to innovate within the search industry, providing viable and preferable products for users who want choice and transparency in their search for information online," a Brave spokesman said. Practically we have noticed that the number of useful searches has dropped on Brave. Hopefully it will get a bit better over time. Google Invests $300 Million in AI That Passed Law School ExamGoogle's doin' their darndest to level the playing field. Green Isn't Your ColorTwo months after OpenAI's surprise ChatGPT release caused Google to issue an internal "code red," the search giant is finally making — or at least, doin' their darndest to make — big moves to catch up. Coupled with the announcement that in the coming weeks the company will be releasing its own AI-powered search-oriented chatbot dubbed "Bard," Google has also invested a cool 300 million bones into the up-and-coming AI startup Anthropic, according to The Financial Times. Per the FT, Google now has a 10 percent stake in the startup, to which Google will reportedly mostly be a technological and financial supplier. And though $300 million into Anthropic is small beans compared to rival Microsoft's mammoth $10 billion cash infusion into OpenAI, the investment certainly feels like a big statement. OpenAI has a pretty serious headstart in the AI marketplace, achieved by bringing ChatGPT to the masses arguably too soon, without the precaution that the company was originally founded to protect. And unlike OpenAI, Anthropic's products are mostly under wraps, though it is known that an Anthropic-made chatbot called "Claude" passed a blindly-graded George Mason University law and economics exam — an impressive accomplishment, and one that may well make Anthropic a legitimate OpenAI rival. AIrms RaceIt's no secret that Google's playing catchup right now. And from a business perspective, they should be. Though Microsoft's Bing has long been the butt of the joke, Microsoft's decision to infuse ChatGPT — the fastest-growing app in history — into its search engine might just breathe new life into the platform. And search aside, it's generally just in Google's best interest, as a company that's been throwing its technological force behind AI projects for some time now, to get its own products into the AI arena before rival products' influences are too far cemented. But regardless of how these next few weeks and months shake out for any of these companies involved, Google's choices, here, are significant, if only symbolically. It's one thing for VCs, who throw a lot of money-shaped spaghetti at a lot of walls, to invest in AI as the next big thing; Google, one of the most powerful companies on Earth, looks a little desperate to level the AI playing field. And in doing so, they're adding more fuel — in the form of more and better-funded competition — to the AI arms race fire. READ MORE: Google invests $300mn in artificial intelligence start-up Anthropic [The Financial Times] More on Anthropic: Dark Horse AI Gets Passing Grade in Law Exam Alphabet dumps more than 90% of its stake in RobinhoodThe Google headquarters in Mountain View, California, Jan. 30, 2023. Marlena Sloss | Bloomberg | Getty Images Google parent Alphabet has pared back large positions in multiple publicly traded firms, including the trading platform Robinhood, the gene testing company 23andMe and language learning startup Duolingo. The company dumped nearly 90% of its stake in Robinhood, according to SEC filings. The company sold off more than 4.3 million shares of the fintech stock during the period ending June 30. Robinhood posted its first profit as a publicly traded company on Aug. 2. Robinhood has struggled since its 2021 initial public offering. The company saw a surge of users during the Covid-19 pandemic, drawn in by the flourishing tech trade. But the company was also at the center of a scandal over its role in the "meme stock" mania and retail trading outrage at payment for order flow. Still, the company reported stronger-than-expected earnings, turning 3 cents per share for the second quarter compared with a Refinitiv consensus estimate of a 1 cent per share loss. Monthly active users, a key benchmark for Wall Street, remain depressed quarter over quarter and year over year. Alphabet still held about 612,000 shares of Robinhood as of June 30. Alphabet also trimmed significant positions in Duolingo and 23andMe. It sold about 523,000 shares of Duolingo. The company had previously held more than 6.7 million shares of 23andMe, the gene testing startup co-founded by Anne Wojcicki, the former wife of Google co-founder Sergey Brin. Alphabet sold them by the end of the period ending June 30. |
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