This page was exported from IT Certification Exam Braindumps [ http://blog.braindumpsit.com ] Export date:Sun Oct 6 16:26:04 2024 / +0000 GMT ___________________________________________________ Title: [Q12-Q27] Download Online VALID Tableau-CRM-Einstein-Discovery-Consultant Exam Dumps File Instantly [Jun 09, 2023] --------------------------------------------------- Download Online VALID Tableau-CRM-Einstein-Discovery-Consultant Exam Dumps File Instantly[Jun 09, 2023] Tableau-CRM-Einstein-Discovery-Consultant Exam Dumps For Certification Exam Preparation QUESTION 12To use the Sales Analytics app, which permission set license do you need?  Sales Wave  Sales Analytics Apps  Analytics Templated Apps  Security User Reference:Each prebuilt Analytics app has its own PSL. When you set up permissions for those apps, select the right PSL. For Service Analytics, select “Service Analytics Apps.” For Event Monitoring, select “Event Monitoring Analytics Apps,” and so on.QUESTION 13Benito has Viewer access to a new Einstein Analytics app. He wants to build and edit a dashboard using the Seed Bank dataset in this new app. What must an admin do for Benito to do this?  Grant Benito access to all datasets in the org.  Assign Benito a permission set that contains the permission: Create and Edit Analytics Dashboards.  Grant Benito access to the app that contains the Seed Bank dataset and assign him a permission set that contains the Create and Edit Analytics Dashboards permission.  Assign Benito a permission set that contains the permission: Create and Manage Analytics Apps. QUESTION 14Refer to the graphic.Which conclusion can be made regarding the strength of the model shown?  The model is very strong. A GINI coefficient of .535 shows that this model is very effective.  The model is pretty good; the accuracy rating of .7597 means we can predict both wins and losses at a fairly high rate.  The strength of the model cannot be determined with the metrics shown.  The model is very weak and doesn’t provide useful predictions due to the low threshold. QUESTION 15Which three statements are true regarding sharing inheritance? Choose 3 answers  If a user can see more than 3,000 records on the object in Salesforce, but the user does not have the “View All Data” permission, sharing inheritance is not used. The backup security predicate takes effect. This limitation does not apply to the Opportunity object.  Sharing inheritance supports Account, Campaign, Case, Contact, Opportunity, Lead, Order, User, and custom objects. If you use other objects, such as Idea or Site, you must use security predicates for those objects.  A dataset using sharing must also have a security predicate defined.  Sharing inheritance supports a foreign key for enforcing security.  When sharing inheritance is enabled, security predicates are ignored. Reference:https://help.salesforce.com/articleView?id=bi_security_datasets_sharing_about.htm&type=5QUESTION 16The Universal Containers company uses Einstein Analytics to build dashboards for different departments: Sales, Service, and Marketing. Users for the same department have the same role and need to have access to the same dashboards. Dashboards for different departments use some common datasets with the same row-level security.How can an Einstein Consultant address this need?  Create one application for each department and use roles to share applications.  Create one application for each department, put common datasets in the shared app, and use profiles to share applications.  Create one application for each department, put common datasets in the shared app, and use roles to share applications.  Create one application for each department, put common datasets in the shared app, and use permission sets to share applications. QUESTION 17A dashboard dataset is growing and the Einstein Analytics consultant notices an impact on performance. The consultant needs to make a few adjustments.Which three actions can the consultant take to improve dashboard performance? Choose 3 answers  Reorganize the dashboard widgets.  Distribute steps among separate pages.  Use SAQL code to join datasets at runtime.  Replace separate step filters with a global filter.  Move calculations to a dataflow. QUESTION 18Why would you use a merge key in a dataset recipe?  To find out what the merge icons represent in a dataset  To schedule when a dataset recipe runs  To join related data from different sources  To deal with duplicate records QUESTION 19Max story creations per org per day:  40 per org  40 per org per clay  20 per org  20 per org per clay QUESTION 20A company wants to use Einstein Analytics to analyze the trend of their sales pipeline. The company wants to accelerate the sales process. To do so, they need to know the average time an opportunity spends in each stage. This value is not pre-calculated in Salesforce, so a consultant recommends using a dataflow to calculate it.How can a dataflow be used to calculate the average time an opportunity spends in each stage?  computeExpression Transformation with SAQL Expression to calculate the duration  flatten Transformation with Offset Expressions to calculate the duration  computeRelative Transformation with offset parameter to calculate the duration  computeRelative Transformation with SAQL Expression to calculate the duration Reference:https://help.salesforce.com/articleView?id=bi_integrate_computeRelative_transformation_operation.htmQUESTION 21The Vice President of Sales wants to create a “Pipeline Trending” dashboard in Einstein Analytics that displays specific colors depending on the values of the fields.Which two techniques can a consultant use to help address this requirement? Choose 2 answers  Use an XMD file and assign colors to each field value.  Use SAQL queries to calculate a color field and assign it to each field value.  Use a compute Expression to calculate a color field and assign it to each field value.  Use the “fields” menu when exploring the dataset and assign colors to each field value. QUESTION 22Which security option is not available in Einstein Analytics for securing datasets?  Inherited security  Row-level security with security predicates  Field-level security  App level security QUESTION 23To see predictive insights, what option do you select in the Story toolbar?  What Changed Over Time  How Can I Improve It  Predictions & Improvements  Why It Happened  What Happened QUESTION 24A data architect wants to use a dataflow transformation to implement row-level security that is based on role hierarchy in Salesforce. Which transformation should be used to level the dataset hierarchy’  digest transformation  flatten transformation  delta transformation  sfdcDigest transformation QUESTION 25A consultant wants to optimize data loads by extracting Salesforce objects using independent Einstein Analytics dataflows ahead of time. Which construct should be used to accomplish this?  Augment  Dataflow  Clone  Data Sync (Replication) QUESTION 26An Einstein Consultant receives a new project from a client that wants to implement Einstein Analytics. They do not currently have Einstein Analytics, but want guidance around how to ensure that their users have correct access.They have 1000 users with a small team of three people who will build datasets and dashboards. An additional 15 people should be able to create dashboards. The remaining users should only be able to view dashboards.Which recommendation should the consultant give the client?  Create and assign Salesforce permission sets according to the three types of roles defined.  Assign the app permissions “viewer/’ “editor,” and “manager” to the three types of roles defined.  Create and assign three new Salesforce profiles according to the three types of roles defined.  Assign “Einstein Analytics Explorer” licenses to users that should only view the dashboard, and assign “Einstein Analytics Developer” licenses to users that should be able to create datasets and dashboards. QUESTION 27How can you restrict access to Analytics data at the row level?  Manually add a flag to each row to prevent access.  Use a security predicate to filter which rows are returned.  Use subtle thought control.  Remove restricted rows from the JSON file. Reference:Predicate is a name for a filter condition that defines row-level access to records in a dataset Example: “rowLevelSecurityFilter”:”‘AccountOwner’ == ”$User.Name”” Loading … Latest Verified & Correct Tableau-CRM-Einstein-Discovery-Consultant Questions: https://www.braindumpsit.com/Tableau-CRM-Einstein-Discovery-Consultant_real-exam.html --------------------------------------------------- Images: https://blog.braindumpsit.com/wp-content/plugins/watu/loading.gif https://blog.braindumpsit.com/wp-content/plugins/watu/loading.gif --------------------------------------------------- --------------------------------------------------- Post date: 2023-06-09 13:15:20 Post date GMT: 2023-06-09 13:15:20 Post modified date: 2023-06-09 13:15:20 Post modified date GMT: 2023-06-09 13:15:20