ELBSecurityPolicy-TLS13-1-2-2021-06 Once this policy is updated the server has listed below Ciphers which are supported. Preferred TLSv1.3 128 bits TLS_AES_128_GCM_SHA256 Curve 25519 DHE 253 Accepted TLSv1.3 256 bits TLS_AES_256_GCM_SHA384 Curve 25519 DHE 253 Accepted TLSv1.3 256 bits TLS_CHACHA20_POLY1305_SHA256 Curve 25519 DHE 253 Preferred TLSv1.2 128 bits ECDHE-RSA-AES128-GCM-SHA256 Curve 25519 DHE 253 Accepted TLSv1.2 128 bits ECDHE-RSA-AES128-SHA256 Curve 25519 DHE 253 Accepted TLSv1.2 256 bits ECDHE-RSA-AES256-GCM-SHA384 Curve 25519 DHE 253 Accepted TLSv1.2 256 bits ECDHE-RSA-AES256-SHA384 Curve 25519 DHE 253 Are these Ciphers strong or safe? As per my understanding from web, the GCM ones are strong Ciphers. However when I checked for others, say "ECDHE-RSA-AES128-SHA256" the search results only show "ECDHE_RSA_WITH_AES_128_CBC_SHA256". Looks like this one has vulnerabilities (Beast attack). Are these both same? Is it ok to allow "ECDHE-RSA-AES128-SHA256" and "ECDHE-RSA-AES256-SHA384" Please advise.

Assuming you have two date columns named "Date1" and "Date2" in your table, and you want to calculate the difference between them in days: DateDifferenceInDays = DATEDIFF('Table'[Date1], 'Table'[Date2], DAY) Replace 'Table' with the actual name of your table containing the date columns. 2. If you need the result in months, you can replace DAY with MONTH: DateDifferenceInMonths = DATEDIFF('Table'[Date1], 'Table'[Date2], MONTH) 3. If you want a simple numeric result that represents the difference in days between two dates without considering months or years, you can use the '-' operator directly: DateDifferenceInDays = 'Table'[Date1] - 'Table'[Date2]

Datasets for practice you can download the below datasets and create the below dasboard by using datasets

I. Introduction This report aims to create a Power BI digital dashboard for a banking payments/payroll system. The purpose of this dashboard is to provide HR and Finance Managers with easy access to key metrics and insights related to payroll expenses and payment processing. II. Key Metrics The following key metrics have been identified for this dashboard: Total Payroll Expenses Number of Payments Processed Average Payment Size Payment Processing Time III. Data Sources The following data sources will be used to populate the dashboard: Payroll Data from Internal Systems Payment Data from External Sources (banking APIs, third-party payment processors) IV. User Groups The dashboard will be designed to meet the needs of HR and Finance Managers. V. Visualizations The following visualizations will be used to display the key metrics and data: Bar Charts to display Total Payroll Expenses and Number of Payments Processed Line Graphs to display Average Payment Size and Payment Processing Time VI. Dashboard Organization The dashboard will be organized in the following way: Separate Pages for Payroll and Payment Data Filters for Users to Drill Down into Specific Areas VII. Interactivity The following interactivity will be included in the dashboard: Drill-Downs to View Detailed Payroll and Payment Information Filters and Slicers to Explore Data in More Detail VIII. Branding The dashboard will incorporate the following branding elements: Use of the Bank's Logo and Color Scheme Consistent Design Elements with Bank's Overall Brand Identity IX. Testing and Refinement The dashboard will be tested with HR and Finance Managers and refined based on their feedback. X. Sample Data and Visuals Please see below for sample data and visuals for the dashboard: Sample Data Sample Visuals Bar Chart displaying Total Payroll Expenses and Number of Payments Processed:   Line Chart displaying Average Payment Size and Payment Processing Time:   Conclusion In conclusion, this Power BI report design plan document outlines the key metrics, data sources, visualizations, dashboard organization, interactivity, branding, and testing and refinement for a banking payments/payroll digital dashboard. The sample data and visuals provided demonstrate how this dashboard can provide HR and Finance Managers with valuable insights and enable them to make informed decisions related to payroll expenses and payment processing.

Any one have dax pattern collection notes?

Let's start with a brief introduction and then move on to interview preparation. Introduction to Groovy: 1. Basic Syntax: • Like Java, Groovy requires classes and methods. • It's less verbose; you don't need semicolons at the end of each line. • You can define variables using def. def name = "ChatGPT" println "Hello, $name" 2. D(http://2.Data)ata (http://2.Data)Types: • Groovy supports all Java data types. • Dynamic typing with the def keyword. • Lists: def list = [1, 2, 3] maps: def map = ['name': 'Chat', 'type': 'AI'] 1. 3. Control Structures: • If-else, loops, and switch-case structures are similar to Java but with a simpler syntax. Sample Interview Questions: 1. Basic Understanding: • What is Groovy, and how is it different from Java? • Explain dynamic typing in Groovy. 4. Syntax & Semantics: • What is the use of the def keyword? • How do you define a closure in Groovy and provide an example? 7. Features: • What are Groovy Builders, and why are they useful? • Explain how Groovy handles null values. 10. Advanced Topics: • How does Groovy enable metaprogramming, and what are its benefits? • Describe the difference between GString and a regular Java String. 13. Practical Scenarios: • Given a list of integers, write a Groovy script to filter out even numbers and square the remaining ones. • How would you handle JSON parsing in Groovy?

Adding Broker API in Power BI Here's a general outline of the steps you can follow: Get API Access: Ensure you have access to your broker's API and the necessary authentication credentials (API key, secret, token, etc.). Open Power BI: Launch Power BI on your computer. Choose Data Source: Click on "Get Data" in the Home tab to choose your data source. Select Web or JSON: Depending on your broker's API, you can select either the "Web" option or the "JSON" option as your data source. Enter API Endpoint: Enter the API endpoint URL provided by your broker in the "URL" field. This URL is where you'll be making API requests to fetch the live feed data. Configure Authentication: Depending on the authentication method your broker uses (e.g., API key, OAuth), you may need to configure authentication settings. If it's API key-based, you can often include the API key in the URL itself or provide it in headers. If it's OAuth, you might need to enter the appropriate credentials. Transform Data (Optional): Power BI might load the data as-is or allow you to transform it. You can use the Power Query Editor to clean, filter, or modify the data before using it in your reports. Load Data: After configuring authentication and optionally transforming the data, click on the "Load" button to load the live feed data into Power BI. Create Visualizations: Once the data is loaded, you can create visualizations like charts, tables, and graphs using the "Visualizations" pane. Set Refresh Schedule: If you want the data to update automatically, you can set a refresh schedule in Power BI. Depending on your version of Power BI, there might be limitations on how often you can refresh data in the free version. Save and Publish: After creating your visualizations and setting up refresh, you can save your Power BI file and publish it to Power BI Service if you want to share it with others.

Interviewer: What is a tile in Power BI? You: In Power BI, a tile is a visual representation of a report element that you can pin to a dashboard. It's essentially a snapshot of a visual, table, chart, or other report element that provides a quick overview of key insights. Tiles allow users to access important information at a glance without having to navigate through the entire report. Interviewer: Can you describe your daily routine as a Power BI developer? You: Certainly! My typical day involves a combination of tasks. I start by reviewing any new requirements or changes from stakeholders. I then work on data modeling, transforming and cleaning data using Power Query, and creating visuals in Power BI Desktop. Once the visuals are ready, I create reports, add interactivity, and create calculated measures using DAX. Finally, I publish the reports to Power BI Service, where I fine-tune dashboards, ensure data refresh, and collaborate with team members. Interviewer: What have you worked on with Power Pivot? You: In Power Pivot, I've primarily focused on creating data models within Excel workbooks and Power BI Desktop. I've used Power Pivot to combine multiple data sources, define relationships, and create calculated columns and measures using DAX. This has allowed me to build interactive reports and dashboards that offer in-depth insights to end-users. Interviewer: What is a query context in Power BI? You: A query context in Power BI refers to the subset of data that is temporarily filtered or modified based on the interactions and selections made by users. It's essential in calculating measures accurately using DAX, as DAX expressions take into account the current row's context within visuals. This context includes filters, slicers, and selections applied to the visual or report. Interviewer: How do we refresh a dashboard in Power BI? You: To refresh a dashboard in Power BI, you would typically need to refresh the underlying dataset or data source. This involves going to Power BI Service, opening the respective dataset, and initiating a manual refresh. Once the data refresh is complete, the visuals and reports within the dashboard will reflect the updated data. Interviewer: Can we refresh a dashboard automatically? You: Yes, we can set up automatic data refresh for a dashboard in Power BI Service. This ensures that the data displayed in the dashboard is always up-to-date without manual intervention. However, automatic refresh depends on data source connectivity, permissions, and the refresh schedule you configure. Interviewer: How do you schedule a dashboard refresh? You: To schedule a dashboard refresh, you can navigate to Power BI Service, open the dataset associated with the dashboard, and set up a refresh schedule. This involves specifying the frequency (daily, weekly, etc.) and time for the refresh to occur. Keep in mind that the availability of refresh options might depend on your Power BI licensing and connectivity to data sources. Interviewer: How many data types have you worked with in Power BI? You: I have experience working with a wide range of data types in Power BI, including numerical, text, date/time, boolean, and hierarchical data types. Additionally, I've worked with custom data types created using Power Query's "Add Custom Column" feature to enrich data during the transformation process.

Question: What is the chemical symbol for the element oxygen? Answer: O Question: What is the process by which plants convert light energy into chemical energy to produce food? Answer: Photosynthesis Question: What is the smallest unit of matter? Answer: Atom Question: What is the force that opposes the motion of objects through a fluid (liquid or gas)? Answer: Friction Question: What is the process by which water vapor turns into liquid water? Answer: Condensation Question: Which gas is most abundant in Earth's atmosphere? Answer: Nitrogen Question: What is the study of the Earth's physical structure, processes, and history? Answer: Geology Question: What is the process by which a solid changes directly into a gas without passing through the liquid state? Answer: Sublimation Question: What is the SI unit of electric current? Answer: Ampere (A) Question: What is the study of celestial bodies such as stars, planets, galaxies, and black holes? Answer: Astronomy Question: What is the process by which an organism produces offspring that are genetically identical to itself? Answer: Asexual reproduction Question: What is the process by which an electric current passes through a liquid, causing chemical reactions and the separation of materials? Answer: Electrolysis Question: What is the force that attracts any two masses toward each other? Answer: Gravity Question: What is the unit of measure for frequency? Answer: Hertz (Hz) Question: What is the chemical process that releases energy from food in the presence of oxygen? Answer: Cellular respiration Question: What is the outermost layer of the Earth called? Answer: Crust Question: What is the process by which a liquid changes into a gas at temperatures below its boiling point? Answer: Evaporation Question: What is the unit of measure for sound intensity? Answer: Decibel (dB) Question: What is the study of the Earth's atmosphere, weather, and climate? Answer: Meteorology Question: What is the part of a cell that controls its activities and contains genetic information? Answer: Nucleus Question: What is the process by which a gas changes into a liquid? Answer: Condensation Question: What is the force that opposes the motion of one surface past another? Answer: Friction Question: What is the unit of measure for electric resistance? Answer: Ohm Question: What is the process by which plants release water vapor into the atmosphere? Answer: Transpiration Question: What is the study of living organisms and their interactions with each other and their environment? Answer: Ecology Question: What is the phenomenon where light bends when passing from one medium to another at an angle? Answer: Refraction Question: What is the SI unit of energy? Answer: Joule Question: What is the densest planet in our solar system? Answer: Earth Question: What is the smallest bone in the human body? Answer: Stapes (in the middle ear) Question: What is the process by which a gas changes directly into a solid without passing through the liquid state? Answer: Deposition

Here's a high-level guide to help you understand the steps involved. Please note that this is a general overview, and the exact steps might vary based on your specific environment and requirements. 1. Prerequisites: • Ensure you have the required hardware and software prerequisites for AutoSys R11.x.x or R12. • Obtain the installation media or download links for AutoSys, EEM, AE, and WCC. • Ensure you have the necessary licenses for the software. • Backup any existing AutoSys configurations if you're upgrading or migrating. 2. Install EEM (Embedded Entitlements Manager): EEM provides centralized user authentication and authorization. 1. Launch the EEM installer. 2. Follow the on-screen instructions, selecting the appropriate options for your environment. 3. Once installed, access the EEM management console to configure users, groups, and policies. 3. Install AutoSys AE (AutoSys Edition): 1. Launch the AutoSys AE installer. 2. During installation, you'll be prompted to specify the EEM server details. Provide the details of the EEM server you set up in the previous step. 3. Configure the AutoSys database. Depending on your setup, this could be an Oracle or SQL Server database. 4. Complete the installation by following the on-screen prompts. 4. Install WCC (Workload Control Center): 1. Launch the WCC installer. 2. During the installation, provide the details of the AutoSys AE server and the EEM server. 3. Complete the installation process. 5. Post-Installation Configuration: 1. EEM Configuration: Access the EEM console and define policies for AutoSys. This includes user roles, permissions, and other security settings. 2. AutoSys AE Configuration: • Configure job definitions, calendars, and other scheduling parameters. • Set up agents on target machines where jobs will run. • Configure communication between the AutoSys server and agents. 6. WCC Configuration: • Access the WCC console and connect it to the AutoSys AE server. • Configure dashboards, views, and other monitoring settings. 6. Testing: • Once everything is set up, it's crucial to test the entire setup. • Create test jobs in AutoSys and monitor them through WCC. • Test user permissions and roles through EEM to ensure security policies are correctly applied. 7. Documentation: • Document the entire installation and configuration process. This will be helpful for troubleshooting, future upgrades, or migrations. 8. Backup: • Regularly backup your AutoSys configurations, job definitions, and database to prevent data loss.

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