Google Google-ACE : Google Associate Cloud Engineer - 2023 Exam Dumps

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Exam Number : Google-ACE
Exam Name : Google Associate Cloud Engineer - 2023
Vendor Name : Google
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Google-ACE Exam Format | Google-ACE Course Contents | Google-ACE Course Outline | Google-ACE Exam Syllabus | Google-ACE Exam Objectives


Length: Two hours

Languages: English, Japanese, Spanish, Indonesian.

Exam format: Multiple choice and multiple select, taken in person at a test center. Locate a test center near you.

Prerequisites: None

Recommended experience: 6 months+ hands-on experience with Google Cloud



An Associate Cloud Engineer deploys applications, monitors operations, and manages enterprise solutions. This individual is able to use Google Cloud Console and the command-line interface to perform common platform-based tasks to maintain one or more deployed solutions that leverage Google-managed or self-managed services on Google Cloud.



The Associate Cloud Engineer exam assesses your ability to:



Set up a cloud solution environment

Plan and configure a cloud solution

Deploy and implement a cloud solution

Ensure successful operation of a cloud solution

Configure access and security



Setting up a cloud solution environment

Setting up cloud projects and accounts. Activities include:



Creating projects

Assigning users to predefined IAM roles within a project

Managing users in Cloud Identity (manually and automated)

Enabling APIs within projects

Provisioning one or more Stackdriver workspaces



Managing billing configuration. Activities include:



Creating one or more billing accounts

Linking projects to a billing account

Establishing billing budgets and alerts

Setting up billing exports to estimate daily/monthly charges



Installing and configuring the command line interface (CLI), specifically the Cloud SDK (e.g., setting the default project).



Planning and configuring a cloud solution

Planning and estimating GCP product use using the Pricing Calculator

Planning and configuring compute resources. Considerations include:



Selecting appropriate compute choices for a given workload (e.g., Compute Engine, Google Kubernetes Engine, App Engine, Cloud Run, Cloud Functions)

Using preemptible VMs and custom machine types as appropriate



Planning and configuring data storage options. Considerations include:



Product choice (e.g., Cloud SQL, BigQuery, Cloud Spanner, Cloud Bigtable)

Choosing storage options (e.g., Standard, Nearline, Coldline, Archive)



Planning and configuring network resources. Tasks include:



Differentiating load balancing options

Identifying resource locations in a network for availability

Configuring Cloud DNS

Deploying and implementing a cloud solution

Deploying and implementing Compute Engine resources. Tasks include:



Launching a compute instance using Cloud Console and Cloud SDK (gcloud) (e.g., assign disks, availability policy, SSH keys)

Creating an autoscaled managed instance group using an instance template

Generating/uploading a custom SSH key for instances

Configuring a VM for Stackdriver monitoring and logging

Assessing compute quotas and requesting increases

Installing the Stackdriver Agent for monitoring and logging



Deploying and implementing Google Kubernetes Engine resources. Tasks include:



Deploying a Google Kubernetes Engine cluster

Deploying a container application to Google Kubernetes Engine using pods

Configuring Google Kubernetes Engine application monitoring and logging

Deploying and implementing App Engine, Cloud Run, and Cloud Functions resources. Tasks include, where applicable:



Deploying an application, updating scaling configuration, versions, and traffic splitting

Deploying an application that receives Google Cloud events (e.g., Cloud Pub/Sub events, Cloud Storage object change notification events)



Deploying and implementing data solutions. Tasks include:



Initializing data systems with products (e.g., Cloud SQL, Cloud Datastore, BigQuery, Cloud Spanner, Cloud Pub/Sub, Cloud Bigtable, Cloud Dataproc, Cloud Dataflow, Cloud Storage)

Loading data (e.g., command line upload, API transfer, import/export, load data from Cloud Storage, streaming data to Cloud Pub/Sub)



Deploying and implementing networking resources. Tasks include:



Creating a VPC with subnets (e.g., custom-mode VPC, shared VPC)

Launching a Compute Engine instance with custom network configuration (e.g., internal-only IP address, Google private access, static external and private IP address, network tags)

Creating ingress and egress firewall rules for a VPC (e.g., IP subnets, tags, service accounts)

Creating a VPN between a Google VPC and an external network using Cloud VPN

Creating a load balancer to distribute application network traffic to an application (e.g., Global HTTP(S) load balancer, Global SSL Proxy load balancer, Global TCP Proxy load balancer, regional network load balancer, regional internal load balancer)



Deploying a solution using Cloud Marketplace. Tasks include:



Browsing Cloud Marketplace catalog and viewing solution details

Deploying a Cloud Marketplace solution

Deploying application infrastructure using Cloud Deployment Manager. Tasks include:



Developing Deployment Manager templates

Launching a Deployment Manager template



Ensuring successful operation of a cloud solution

Managing Compute Engine resources. Tasks include:



Managing a single VM instance (e.g., start, stop, edit configuration, or delete an instance)

SSH/RDP to the instance

Attaching a GPU to a new instance and installing CUDA libraries

Viewing current running VM inventory (instance IDs, details)

Working with snapshots (e.g., create a snapshot from a VM, view snapshots, delete a snapshot)

Working with images (e.g., create an image from a VM or a snapshot, view images, delete an image)

Working with instance groups (e.g., set autoscaling parameters, assign instance template, create an instance template, remove instance group)

Working with management interfaces (e.g., Cloud Console, Cloud Shell, GCloud SDK)



Managing Google Kubernetes Engine resources. Tasks include:



Viewing current running cluster inventory (nodes, pods, services)

Browsing the container image repository and viewing container image details

Working with node pools (e.g., add, edit, or remove a node pool)

Working with pods (e.g., add, edit, or remove pods)

Working with services (e.g., add, edit, or remove a service)

Working with stateful applications (e.g. persistent volumes, stateful sets)

Working with management interfaces (e.g., Cloud Console, Cloud Shell, Cloud SDK)



Managing App Engine and Cloud Run resources. Tasks include:



Adjusting application traffic splitting parameters

Setting scaling parameters for autoscaling instances

Working with management interfaces (e.g., Cloud Console, Cloud Shell, Cloud SDK)



Managing storage and database solutions. Tasks include:



Moving objects between Cloud Storage buckets

Converting Cloud Storage buckets between storage classes

Setting object life cycle management policies for Cloud Storage buckets

Executing queries to retrieve data from data instances (e.g., Cloud SQL, BigQuery, Cloud Spanner, Cloud Datastore, Cloud Bigtable)

Estimating costs of a BigQuery query

Backing up and restoring data instances (e.g., Cloud SQL, Cloud Datastore)

Reviewing job status in Cloud Dataproc, Cloud Dataflow, or BigQuery

Working with management interfaces (e.g., Cloud Console, Cloud Shell, Cloud SDK)



Managing networking resources. Tasks include:



Adding a subnet to an existing VPC

Expanding a subnet to have more IP addresses

Reserving static external or internal IP addresses

Working with management interfaces (e.g., Cloud Console, Cloud Shell, Cloud SDK)



Monitoring and logging. Tasks include:



Creating Stackdriver alerts based on resource metrics

Creating Stackdriver custom metrics

Configuring log sinks to export logs to external systems (e.g., on-premises or BigQuery)

Viewing and filtering logs in Stackdriver

Viewing specific log message details in Stackdriver

Using cloud diagnostics to research an application issue (e.g., viewing Cloud Trace data, using Cloud Debug to view an application point-in-time)

Viewing Google Cloud Platform status

Working with management interfaces (e.g., Cloud Console, Cloud Shell, Cloud SDK)



Configuring access and security

Managing identity and access management (IAM). Tasks include:



Viewing IAM role assignments

Assigning IAM roles to accounts or Google Groups

Defining custom IAM roles



Managing service accounts. Tasks include:



Managing service accounts with limited privileges

Assigning a service account to VM instances

Granting access to a service account in another project



Viewing audit logs for project and managed services.



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Google Associate syllabus

 

The 10 Highest-Paying Cloud Certifications In 2023

A new report from online boot camp provider Simplilearn reveals the cloud computing certifications with the highest average annual salaries, including those from AWS, Microsoft and Google Cloud.

“Google Certified Professional-Cloud Architect,” “Microsoft Certified: Azure Solutions Architect Expert” and “AWS Certified Solutions Architect-Associate” are among the cloud certifications linked with the highest average annual salaries.

That’s according to Simplilearn, a San Francisco-based online boot camp provider that partners with universities as well as companies.

Simplilearn recently published a report on the cloud computing certifications with the highest average annual salaries, featuring certifications from top cloud computing vendors Amazon Web Services, Microsoft and Google Cloud.

[RELATED: 10 New Google Cloud Programs, Certs, Incentives For Partners]

Best-Paying Cloud Certifications

CRN has ranked the list according to average annual salary, from lowest to highest.

CRN also has reached out to Simplilearn, Microsoft, Google Cloud and AWS for comment.

AWS is still considered the dominant cloud business with about one-third of the market. Microsoft is No. 2 with less than a quarter of the market. And Google ranks third with about one-tenth of the market.

A longtail of other vendors including IBM and Oracle are far behind the three vendors.

According to Simplilearn, all of the exams on this list require a 70 percent or higher score to pass. They also feature multiple-choice questions as well as those with multiple responses.

Some other certifications mentioned include:

*AWS Certified Developer Associate

*Microsoft Azure Fundamentals

*Google Associate Cloud Engineer

Here’s what you need to know.

Microsoft Azure Administrator Associate

Average Annual Salary: $107,683

The “Microsoft Certified: Azure Administrator Associate” is an intermediate exam on Simplilearn’s list.

The exam shows who can deploy, monitor and manage Azure services with significant compute, storage, network and security involved.

The exam has 40 to 60 questions, according to Simplilearn. It lasts 120 minutes and costs $165.

Simplilearn recommends that test takers be familiar with Azure security, privacy, pricing, support and other concepts.

Google Associate Cloud Engineer

Average Annual Salary: $109,415

Google Associate Cloud Engineers deliver and protect apps and infrastructure, according to Simplilearn. These engineers also oversee project operations and maintain corporate products and services to make sure performance goals are met.

These engineers, programmers and developers demonstrate an ability to work with public clouds and on-premises systems. They deploy, monitor and manage operations of cloud-based web apps.

This intermediate exam costs $125 to take and lasts 120 minutes, according to Simplilearn. The exam has 50 questions.

Simplilearn recommends that test takers have an understanding of virtual machines, containers, networking and other cloud concepts.

Microsoft Azure Fundamentals

Average Annual Salary: $110,000

The “Microsoft Certified: Azure Fundamentals” exam shows which professionals understand Azure services, workloads, security, privacy, pricing, support and principles, according to Simplilearn.

The exam is considered an easier one, along the lines of AWS Certified Cloud Practitioner, Solutions Architect Associate and Developer Associate, according to Simplilearn.

The exam costs about $99 and lasts 85 minutes. It has at least 40 questions, according to Simplilearn.

AWS Certified SysOps Administrator Associate

Average Annual Salary: $111,966

The “AWS Certified SysOps Administrator–Associate” exam is another intermediate difficulty one akin to the AWS Certified Developer Associate certification.

Systems operations (SysOps) administrator associates can develop, manage and operate AWS workloads.

The $150 exam lasts 130 minutes and has 65 questions, according to Simplilearn.

Simplilearn recommends that test takers have at least one year of AWS deployment, management and operation experience. They should understand AWS CLIs (command line interfaces), SDKs and APIs. They also should understand AWS tenets, network technologies, security concepts and compliance.

AWS Certified Cloud Practitioner

Average Annual Salary: $113,932

AWS Certified Cloud Practitioner certification holders understand essential cloud infrastructure, architectural concepts and AWS services.

The exam ranks on the easier side of the difficulty spectrum, akin to AWS Certified Solutions Architect Associate and AWS Certified Developer Associate, according to Simplilearn. The exam costs $100, has 65 questions and lasts 90 minutes.

Simplilearn recommends test takers have experience in creating a cloud implementation strategy, AWS apps deployment, AWS platform architecture creation oversight and cloud platform management and monitoring.

AWS Solutions Architect Professional

Average Annual Salary: $118,266

At $300, this is the most expensive exam on Simplilearn’s list. The “AWS Certified Solutions Architect-Professional” certification is meant to show acumen in creating distributed apps and systems on AWS.

Certification holders can develop, implement and evaluate AWS apps under a variety of conditions, according to Simplilearn.

The exam is on the harder side of the difficulty spectrum, akin to Google Professional Cloud Architect and Microsoft Azure Solutions Architect Expert. The exam has 75 questions and lasts 180 minutes.

Before taking the exam, professionals should understand AWS CLI, AWS APIs, AWS CloudFormation templates, Windows environments and Linux environments, according to Simplilearn.

They also should know best practice architectural design across multiple corporate apps and projects.

AWS Certified Developer Associate

Average Annual Salary: $130,272

This exam shows programmers’ and software developers’ ability to develop and maintain applications on AWS, according to Simplilearn.

The exam costs $150 and is considered intermediate in difficulty, according to Simplilearn. Simplilearn ranks this exam harder than the AWS Certified Solutions Architect Associate one but easier than the Google Professional Cloud Architect and Microsoft Azure Solutions Architect Expert exams.

This exam runs 130 minutes and has 65 questions, according to Simplilearn.

Simplilearn recommends that before people take the test they should gain an understanding of the AWS shared responsibility model and practice writing applications with AWS’ CLIs, APIs and SDKs.

Simplilearn also recommends learning the continuous integration (CI) and continuous delivery (CD) method popular with DevOps engineers.

AWS Certified Solutions Architect Associate

Average Annual Salary: $130,883

The “AWS Certified Solutions Architect-Associate” certification shows that a professional can work with an enterprise architecture, build distributed systems on AWS and deploy those systems.

The exam costs $150 and is considered an easier exam than others, according to Simplilearn. The exam has 65 questions on the harder end of these certifications and lasts 130 minutes.

Simplilearn suggests that, before taking the exam, professionals work with AWS for at least a year and understand Java, Python, C# or another programming or scripting language.

Before taking the exam, professionals should also develop an understanding of data storage fundamentals, networking and cloud technologies.

Microsoft Azure Solutions Architect Expert

Average Annual Salary: $135,000

Programmers, developers and engineers who pass the “Microsoft Certified: Azure Solutions Architect Expert” exam demonstrate the ability to work with cloud administrators, cloud database administrators and customers, according to Simplilearn.

They can advise stakeholders and translate business requirements into dependable, scalable and safe products and services.

The exam costs $165 and lasts about 150 minutes, according to Simplilearn. The exam features at least 40 questions on the harder end of these certifications.

Before taking the exam, professionals should demonstrate an ability to implement workloads, implement security, deploy infrastructure, configure infrastructure, create and deploy applications for the cloud and Azure storage, implement authentication and secure data, according to Simplilearn.

Google Professional Cloud Architect

Average Annual Salary: $140,000

The certification with the highest average annual salary is the “Google Certified Professional-Cloud Architect.”

These cloud architects must show abilities in designing and planning cloud service architectures and managing and provisioning cloud infrastructure.

The certification measures designs for security and compliance, according to Simplilearn. Certification holders can work with Google tools such as Big Table, Big Query and the Google Cloud Platform.

The exam costs $200 and lasts about 120 minutes, according to Simplilearn. The exam has 40 questions.

Simplilearn suggests test takers become proficient with CLI, Linux operating systems, systems operations and have more than three years of industry experience.


CBSE Class 11 Syllabus 2023-2024 PDFs RELEASED: Download New Curriculum of All Subjects

CBSE Class 11 Syllabus 2023-24: CBSE has made available the latest senior secondary curriculum for 2023–24. Class 11th is the first year in the senior secondary curriculum where students choose a stream from Arts/ Humanities, Commerce and Science. The CBSE curriculum of all the streams reflects the nation’s shared vision of education and equips the learners with knowledge encompassing local, national, and global requirements and expectations. Now, candidates entering class 11th in the new academic year can refer to the latest CBSE Class 11 syllabus to check their course structure, course contents, any addition or removal of topics from the curriculum, question paper design, typology of questions, project work details, and unit-wise weightage of marks.

Before diving right into the syllabus of the new academic year, let us see why and how the syllabus serves an important role in exam preparation:

Some Salient Features of the CBSE Secondary School Curriculum
  • CBSE Class 11 syllabus provides ample scope for holistic development of students.
  • Instead of  rote learning, the curriculum emphasises on constructive learning of hands- on experience.
  • CBSE curriculum also enlists teaching and exam objectives to make learning competency-based.
  • The curriculum promotes the application of knowledge and skills in real-life scenarios.
  • The syllabus is designed to keep up with the ‘Constitutional Values’ by encouraging values-based learning activities.
  • CBSE Class 11 curriculum promotes 21st Century Skills, Life Skills, Financial Literacy, Digital Literacy, Health and Wellness, Road Safety, Citizenship Education, Disaster Management and multilingualism.
  • The board also integrates innovations such as experiential, activity centred, joyful learning, Sport and Art-Integrated Learning, toy-based pedagogy, storytelling, gamification etc. with technological innovations (ICT integration) in its pedagogy.
  • The syllabus promotes inclusive practices in all educational activities.
  • In the tables given below, students can download the subject-wise syllabus PDFs of CBSE Class 11.

    Now check the remaining academic elective papers below:


    Google vs Bing: Is one search engine really much better than the other?

    Stock photo of Bing Chat on phone 4

    Edgar Cervantes / Android Authority

    When it comes to searching the internet, your mind probably jumps to Google. But what about Microsoft’s search engine — Bing? It isn’t as popular or commonplace, but it’s certainly a viable alternative to Google and offers a handful of exclusive features to sweeten the pot. The latter includes a new ChatGPT-like chatbot that can assist you with complex search queries. But what else separates Google vs Bing and which search engine comes out on top? Here’s everything you need to know.

    Google vs Bing usage: Which search engine has the most market share?

    bing market share

    Bing captured a third of US searches at one point.

    Neither Google nor Microsoft discloses the exact number of searches or active users they serve each day, but third-parties paint a clear picture of who is in the lead. Broadly speaking, nine in every ten searches take place on Google.

    According to Statista, as of February 2023, Google enjoys an 83.5% market share in the desktop search engine race and the lead extends to 95% in the mobile market. Bing puts up an admirable fight with over 9% market share in the PC space, but it doesn’t even break past the one percent market share mark on mobile. While these numbers may seem bleak, it’s worth keeping in mind that Bing gets over 12 billion searches every single month.

    Bing serves one in every ten computer searches worldwide, but it's more popular in some countries.

    To summarize, Google’s worldwide market share ranges between 85 and 95%. Bing, meanwhile, is a clear underdog, despite the fact that it has been around since 2009. Still, it has managed to corner nearly 10% of the desktop search engine market all by itself. What’s more — many smaller search engines like Yahoo and DuckDuckGo rely on Bing’s results as well, making it far more dominant than the numbers might suggest.

    Moreover, Bing has the upper hand in certain regions like the United States where it claims to have served over 30% of total search results at one point. It’s also used by Amazon’s Alexa and Apple’s Siri digital assistants behind the scenes.

    Despite the long road ahead, Microsoft remains committed to Bing and it’s not hard to see why. The company told analysts that it expects $2 billion in additional revenue each time Bing increases its market share by a single percentage point. And even with Bing’s currently minuscule presence, its ads division brings in roughly $18 billion in yearly revenue.

    Google vs. Bing: Functionality and quality of results

    It’s difficult to gauge the quality of results for the billions of possible search terms out there. Generally speaking, though, Google and Bing will both meet the needs of the average user. Both search engines allow you to search for text, videos, images, news, and even popular shopping websites.

    In our use, we found that both search engines delivered reasonably accurate results. Both offer a list of links to relevant web pages as you’d expect from a search engine. In fact, the result pages don’t look that different from each other too. Bing and Google will sometimes pull snippets of text from trusted sources like Wikipedia. Finally, Bing will often also provide a visually rich infographic alongside the search results, as shown in the above screenshot.

    Both Bing and Google deliver similar results, at least for simple search terms.

    Moving on, Bing will often summarize text from multiple sources if you ask a yes or no question. Google will attempt to do the same thing, but its response only ever includes a single source. That doesn’t necessarily make Bing better, however, as we’ve seen both make mistakes even if they cite the correct sources.

    bing vs google video search

    Calvin Wankhede / Android Authority

    (Left) Bing video search, (Right) Google video search

    If you prefer using Google products like Maps, you might prefer using the search engine as well. Bing Maps, for example, doesn’t offer the same depth of traffic data and businesses as Google’s mapping service. On the other hand, Bing takes the win when it comes to searching for videos as it provides a visual interface and embeds the video player directly within the website. These are minor differences, but they have a noticeable impact on the usability of either search engine.

    Does Bing or Google have the better AI chatbot?

    In 2023, Microsoft announced Bing Chat — a conversational chatbot that makes searches seem more personalized and interactive — later renamed to Microsoft Copilot. It’s based on the same technology as ChatGPT, which Microsoft has poured over ten billion dollars into so far.

    AI chatbots like Bing Chat shine when you need answers to complex questions. Some examples include planning a holiday or picking out a gift for a close one. Here’s a sampling of Bing Chat in action on mobile:

    The difference between ChatGPT and Bing Chat is that Microsoft allows its chatbot to search for live information on the internet. This makes it incredibly powerful in practice — you can use it to find matching pieces of furniture or compare various products from a certain standpoint. With traditional search, you’d need to perform multiple individual searches and do your own research.

    Google does have a rival in the form of its Bard AI chatbot, but you need to access it separately for now. That said, some regions do have access to a feature that adds AI-generated answers directly to search results. Google calls it Search Generative Experience. In my testing, it holds up quite well when compared against Bing Chat but you do need to enable it first.

    Can Bing manage to overtake Google?

    made by google logo 2

    Rita El Khoury / Android Authority

    It’s unlikely that Bing can steal Google’s thunder and become the top search engine globally. This is largely because Google pays billions of dollars to keep its position as the default search engine on many devices.

    According to analysts’ estimates, Google pays Apple roughly $15 billion to maintain its default status on the iPhone, iPad, and MacBook. We also know that the company mandates the installation of Google Mobile Services (GMS), Chrome, and other apps on virtually all Android phones. Microsoft, meanwhile, uses Bing as the default search engine on Windows and the Edge web browser. For the past decade and a half of Bing’s existence, Microsoft hasn’t tried to make it the default search engine for rival operating systems and web browsers. That means it’s unlikely to change now either.

    Google is still king, but Bing has a fighting chance.

    Users can change their default search engine, of course, but most people simply do not venture into the settings menu. That’s a key reason why the Microsoft Rewards program exists — it incentivizes users to download the Bing app and use it on all possible platforms.

    Having said that, Microsoft does have an ace up its sleeve in the form of Bing Chat. According to Microsoft, Bing Chat helped the search engine surpass 100 million daily active users for the first time ever. But by the company’s own admission, Bing remains a “small, low, single-digit share player” vs Google. Will that change in the future? Only time will tell.

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